Publications

2022

Alturki, S., Hulpus, I. und Stuckenschmidt, H. (2022). Predicting academic outcomes: A survey from 2007 till 2018. Technology, Knowledge and Learning, 27, 275-307.
Betz, P., Christian, M. und Heiner, S. (2022). Supervised knowledge aggregation for knowledge graph completion. In , The semantic web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29-June 2, 2022 : proceedings (S. 74-92). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Betz, P., Meilicke, C. und Stuckenschmidt, H. (2022). Adversarial explanations for knowledge graph embeddings. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence : Vienna, 23–29 July 2022 (S. 2820-2826). , International Joint Conferences on Artificial Intelligence: Darmstadt ; Vienna.
Cohausz, L. (2022). Towards real interpretability of student success prediction combining methods of XAI and social science. In , Proceedings of the 15th International Conference on Educational Data Mining (S. 361-367). , International Educational Data Mining Society: Durham.
Cohausz, L., Wilken, N. und Stuckenschmidt, H. (2022). Plan-similarity based heuristics for goal recognition. In , 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : PerCom Workshops 2022 (S. 316-321). , IEEE: Pisa.
Knorr, L. und Portisch, J. (2022). Fine-TOM matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 144-151). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Kossack, D., Borg, N., Knorr, L. und Portisch, J. (2022). TOM matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 193-198). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Litschko, R., Vulić, I., Ponzetto, S. P. und Glavaš, G. (2022). On cross-lingual retrieval with multilingual text encoders. Information Retrieval Journal, 25, 149-183.
Lüdtke, S., Bartelt, C. und Stuckenschmidt, H. (2022). Exchangeability-aware sum-product networks. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Vienna, 23–29 July 2022 (S. 4864-4870). , International Joint Conferences on Artificial Intelligence Organization: Wien.
Marton, S., Lüdtke, S. und Bartelt, C. (2022). Explanations for neural networks by neural networks. Applied Sciences, 12, 1-14.
Portisch, J., Heist, N. und Paulheim, H. (2022). Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin? Semantic Web, 13, 399-422.
Portisch, J. und Paulheim, H. (2022). ALOD2vec matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 117-123). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Portisch, J. und Paulheim, H. (2022). Wiktionary matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 199-206). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A. (2022). Reducing the labeling effort for entity resolution using distant supervision and active learning. Dissertation, . Mannheim.
Primpeli, A. und Bizer, C. (2022). Impact of the characteristics of multi-source entity matching tasks on the performance of active learning methods. In , The Semantic Web : 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, proceedings (S. 113-129). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Sola, D., der Aa, H., Meilicke, C. und Stuckenschmidt, H. (2022). Exploiting Label Semantics For Rule-Based Activity Recommendation In Business Process Modeling. Information Systems : IS, 108.
Sola, D., Meilicke, C., der Aa, H. und Stuckenschmidt, H. (2022). On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. In , Business Process Management Workshops : BPM 2021 international workshops, Rome, Italy, September 6-10, 2021, revised selected papers (S. 5-17). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
Theil, C. (2022). Uncertainty, risk, and financial disclosures : applications of natural language processing in behavioral economics. Dissertation, . Mannheim.
Wilken, N., Cohausz, L., Schaum, J., Lüdtke, S., Bartelt, C. und Stuckenschmidt, H. (2022). Leveraging planning landmarks for hybrid online goal recognition. In , International Conference on Automated Planning and Scheduling ICAPS (2022) : June 13-17, 2022, virtual (S. ). , CEUR Workshop Proceedings: Aachen.

2021

Verborgh, R., Hose, K., Paulheim, H., Champin, P.-A., Maleshkova, M., Corcho, O., Ristoski, P. und Alam, M. (eds.) (2021). The semantic web – 18th international conference, ESWC 2021, virtual event, June 6-10, 2021, proceedings. Berlin [u.a.]: Springer.
Abd Nikooie Pour, M., Algergawy, A., Amardeilh, F., Amini, R., Fallatah, O., Faria, D., Fundulaki, I., Harrow, I., Hertling, S., Hitzler, P., Huschka, M., Ibanescu, L., Jiménez-Ruiz, E., Karam, N., Laadhar, A., Lambrix, P., Li, H., Li, Y., Michel, F., Nasr, E., Paulheim, H., Pesquita, C., Portisch, J., Roussey, C., Saveta, T., Shvaiko, P., Splendiani, A., Trojahn, C., Vataščinová, J., Yaman, B., Zamazal, O. und Zhou, L. (2021). Results of the Ontology Alignment Evaluation Initiative 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 62-108). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Alhersh, T. (2021). From motion to human activity recognition. Dissertation, . Mannheim.
Alhersh, T., Stuckenschmidt, H., Rehman, A. U. und Brahim Belhaouari, S. (2021). Learning human activity from visual data using deep learning. IEEE Access, 9, 106245-106253.
Alturki, S. und Alturki, N. (2021). Using educational data mining to predict students' academic performance for applying early interventions. Journal of Information Technology Education : JITE. Innovations in Practice : IIP, 20, 121-137.
Alturki, S. und Stuckenschmidt, H. (2021). Assessing students' self-assessment ability in an interdisciplinary domain. Journal of Applied Research in Higher Education : JARHE.
Biswas, R., Sofronova, R., Alam, M., Heist, N., Paulheim, H. und Sack, H. (2021). Do judge an entity by its name! Entity typing using language models. In , The Semantic Web: ESWC 2021 Satellite Events : virtual event, June 6–10, 2021, revised selected papers (S. 65-70). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Brinkmann, A. und Bizer, C. (2021). Improving hierarchical product classification using domain-specific language modelling. Bulletin of the Technical Committee on Data Engineering / IEEE Computer Society, 44, 14-25.
Brockmeier, M., Liu, Y., Pateer, S., Hertling, S. und Paulheim, H. (2021). On-demand and lightweight knowledge graph generation – a demonstration with DBpedia. In , Joint proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021 (S. 1-5). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Bucher, T.-C., Jiang, X., Meyer, O., Waitz, S., Hertling, S. und Paulheim, H. (2021). Scikit-learn pipelines meet knowledge graphs. In , The semantic web: ESWC 2021 Satellite Events : virtual event, June 6-10, 2021, revisted selected papers (S. 9-14). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Burzlaff, F. (2021). Knowledge-driven architecture composition. Dissertation, . Mannheim.
Bühler, B. und Paulheim, H. (2021). Web table classification based on visual features. In , Web Engineering : 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings (S. 185-200). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Civitarese, G., Sztyler, T., Riboni, D., Bettini, C. und Stuckenschmidt, H. (2021). POLARIS: Probabilistic and ontological activity recognition in smart-homes. IEEE Transactions on Knowledge and Data Engineering : TKDE, 33, 209-223.
Diete, A. (2021). Towards multimodal activity recognition in complex scenarios. Dissertation, . Mannheim.
Frendo, O. (2021). Improving smart charging for electric vehicle fleets by integrating battery and prediction models. Dissertation, . Mannheim.
Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2021). Wissensgraphen im Web : Überblick und Vergleich. In Semantische Datenintelligenz im Einsatz (S. 127-151). Wiesbaden: Springer Vieweg.
Heist, N. und Paulheim, H. (2021). Information extraction from co-occurring similar entities. In , The Web Conference 2021 : Proceedings of the World Wide Web Conference WWW 2021 (S. 3999-4009). , Association for Computing Machinery: New York, NY [u.a.].
Heist, N. und Paulheim, H. (2021). The CaLiGraph ontology as a challenge for OWL reasoners. In , Semantic Reasoning Evaluation Challenge 2021 : proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021), co-located with the 20th International Semantic Web Conference (ISWC 2021); virtual event, October 27th, 2021 (S. 21-31). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Helmstetter, S. und Paulheim, H. (2021). Collecting a large scale dataset for classifying fake news tweets using weak supervision. Future Internet, 13, 114.
Hertling, S. und Paulheim, H. (2021). ATBox results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 137-143). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hertling, S. und Paulheim, H. (2021). Order matters: Matching multiple knowledge graphs. In , K-CAP '21: Proceedings of the 11th on Knowledge Capture Conference (S. 113-120). , Association for Computing Machinery: New York, NY.
Hertling, S., Portisch, J. und Paulheim, H. (2021). Matching with transformers in MELT. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 13-24). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hoffmann, L., Bartelt, C. und Stuckenschmidt, H. (2021). Knowledge injection via ML-based initialization of neural networks. In , Proceedings of the CIKM 2021 Workshops (CIKMW 2021) co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) : Gold Coast, Queensland, Australia, November 1-5,2021 (S. 1-6). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Huber, J. und Stuckenschmidt, H. (2021). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, 231, 1-14.
Iana, A. und Paulheim, H. (2021). GraphConfRec: A Graph Neural Network-Based Conference Recommender System. In , 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Sept. 27 2021 to Sept. 30 2021, Champaign, IL, USA : conference proceedings (S. 90-99). , IEEE: New York, NY.
Lauscher, A. (2021). Language representations for computational argumentation. Dissertation, . Mannheim.
Litschko, R., Vulić, I., Ponzetto, S. P. und Glavaš, G. (2021). Evaluating multilingual text encoders for unsupervised cross-lingual retrieval. In , Advances in information retrieval : 43rd European Conference on IR Research, ECIR 2021, virtual event, March 28 – April 1, 2021, proceedings, part I (S. 342-358). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Meilicke, C., Betz, P. und Stuckenschmidt, H. (2021). Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well. In , 3rd Conference on Automated Knowledge Base Construction (S. 1-26). , OpenReview.net: Online.
Nolle, A. (2021). Federated knowledge base debugging in DL-Lite A. Dissertation, . Mannheim.
Nolte, F., Wilken, N. und Bartelt, C. (2021). Rendezvous delivery: Utilizing autonomous electric vehicles to improve the efficiency of last mile parcel delivery in urban areas. In , 2021 IEEE PerCom Workshops : PerAwareCity 2021, 6th IEEE Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transportation Systems, March 22-26, 2021 in Kassel, Germany (S. 148-153). , IEEE Computer Society: Piscataway, NJ.
Peeters, R. und Bizer, C. (2021). Dual-objective fine-tuning of BERT for entity matching. In , 47th International Conference on Very Large Data Bases (VLDB 2021) : Copenhagen, Denmark, August 16-20, 2021 (S. 1913-1921). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
Pernpeintner, M., Bartelt, C. und Stuckenschmidt, H. (2021). Governing black-box agents in competitive multi-agent systems. In , Multi-Agent Systems : 18th European Conference, EUMAS 2021, virtual event, June 28–29, 2021, revised selected papers (S. 19-36). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Hladik, M. und Paulheim, H. (2021). Background knowledge in schema matching: Strategy vs. data. In , The Semantic Web – ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings (S. 287-303). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Hladik, M. und Paulheim, H. (2021). FinMatcher at FinSim-2: hypernym detection in the financial services domain using knowledge graphs. In , Companion Proceedings of the Web Conference 2021 (S. 293-297). , Association for Computing Machinery: New York, NY, USA.
Portisch, J. und Paulheim, H. (2021). Putting RDF2vec in order. In , International Semantic Web Conference (ISWC) 2021: posters, demos and industry tracks: proceedings (S. 1-5). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A. und Bizer, C. (2021). Graph-boosted active learning for multi-source entity resolution. In , The Semantic Web – ISWC 2021 : 20th international semantic web conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings (S. 182-199). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Rovera, M., Nanni, F. und Ponzetto, S. P. (2021). Event-based access to historical Italian war memoirs. ACM Journal on Computing and Cultural Heritage : JOCCH, 14, 1-23.
Schlechtinger, M., Kosack, D., Paulheim, H. und Fetzer, T. (2021). How algorithms work and play together. Concurrences : Revue des Droits de la Concurrence, 2021, 19-23.
Schlechtinger, M., Kosack, D., Paulheim, H. und Fetzer, T. (2021). Winning at any cost – infringing the cartel prohibition with reinforcement learning. In , Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good : The PAAMS collection, 19th international conference, PAAMS 2021, Salamanca, Spain, October 6-8, 2021, proceedings (S. 255-266). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schäfer, B., der Aa, H., Leopold, H. und Stuckenschmidt, H. (2021). Sketch2BPMN: Automatic recognition of hand-drawn BPMN models. In , Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 344-360). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schäfer, B., Keuper, M. und Stuckenschmidt, H. (2021). Arrow R-CNN for handwritten diagram recognition. International Journal on Document Analysis and Recognition : IJDAR, 24, 3-17.
Schäfer, B. und Stuckenschmidt, H. (2021). DiagramNet: hand-drawn diagram recognition using visual arrow-relation detection. In , Document Analysis and Recognition – ICDAR 2021 : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (S. 614-630). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Sola, D. (2021). Towards a rule-based recommendation approach for business process modeling. In , Service-oriented computing – ICSOC 2020 Workshops : AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14-17, 2020 : proceedings (S. 25-31). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Sola, D., Meilicke, C., der Aa, H. und Stuckenschmidt, H. (2021). A rule-based recommendation approach for business process modeling. In , Advanced information systems engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 328-343). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Steenwinckel, B., Vandewiele, G., Bonte, P., Weyns, M., Paulheim, H., Ristoski, P., De Turck, F. und Ongenae, F. (2021). Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs. In , Database and expert systems applications – DEXA 2021 Workshops : BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, virtual event, September 27–30, 2021, proceedings (S. 70-80). Communications in Computer and Information Science, Springer International Publishing: Cham.
Sánchez-Junquera, J., Chulvi, B., Rosso, P. und Ponzetto, S. P. (2021). How do you speak about immigrants? Taxonomy and stereoImmigrants dataset for identifying stereotypes about immigrants. Applied Sciences, 11, 1-27.
Voit, M. M. und Paulheim, H. (2021). Bias in knowledge graphs – An empirical study with movie recommendation and different language editions of DBpedia. In , 3rd Conference on Language, Data and Knowledge (LDK 2021) : September 1–3, 2021, Zaragoza, Spain (S. 14:1-14:13). Open Access Series in Informatics : OASIcs, Leibniz-Zentrum für Informatik: Wadern.
Weller, T. und Acosta, M. (2021). Predicting instance type assertions in knowledge graphs using stochastic neural networks. In , CIKM '21 : proceedings of the 30th ACM International Conference on Information & Knowledge Management (S. 2111-2118). , Association for Computing Machinery: New York, NY.
Weller, T. und Paulheim, H. (2021). Evidential relational-graph convolutional networks for entity classification in knowledge graphs. In , CIKM '21 : Proceedings of the 30th ACM International Conference on Information & Knowledge Management (S. 3533-3537). , Association for Computing Machinery: New York, NY.
Wilken, N. und Stuckenschmidt, H. (2021). Combining symbolic and statistical knowledge for goal recognition in smart home environments. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 26-31). , IEEE Computer Society: Piscataway, NJ.
Wilken, N., Stuckenschmidt, H. und Bartelt, C. (2021). Combining symbolic and data-driven methods for goal recognition. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 428-429). , IEEE Computer Society: Piscataway, NJ.

2020

Harth, A., Kirrane, S., Ngonga Ngomo, A.-C., Paulheim, H., Rula, A., Gentile, A. L., Haase, P. und Cochez, M. (eds.) (2020). The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings. Berlin [u.a.]: Springer.
Abd Nikooie Pour, M., Algergawy, A., Amini, R., Faria, D., Fundulaki, I., Harrow, I., Hertling, S., Jiménez-Ruiz, E., Jonquet, C., Karam, N., Khiat, A., Laadhar, A., Lambrix, P., Li, H., Li, Y., Hitzler, P., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Yaman, B., Zamazal, O. und Zhou, L. (2020). Results of the Ontology Alignment Evaluation Initiative 2020. In , OM 2020Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 92-138). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Al Taweel, A. und Paulheim, H. (2020). Towards exploiting implicit human feedback for improving RDF2vec embeddings. In , DL4KG2020: Deep Learning for Knowledge Graphs : proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020), co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020) : Heraklion, Greece, June 02, 2020 – moved online (S. 1-10). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Alam, M., Groth, P., Hitzler, P., Paulheim, H., Sack, H. und Tresp, V. (2020). CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. In , CIKM '20 : Proceedings of the 29th ACM International Conference on Information & Knowledge Management, virtual event Ireland, October 19 – 23, 2020 (S. 3523-3524). , Association for Computing Machinery: New York, NY.
Alhersh, T., Belhaouari, S. und Stuckenschmidt, H. (2020). Metrics performance analysis of optical flow. In , VISIGRAPP 2020 : proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 27, 2020 – Feb 29, 2020, Valetta, Malta (S. 749-758). Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS – Science and Technology Publications: Setúbal.
Becker, M., Hulpus, I., Opitz, J., Paul, D., Kobbe, J., Stuckenschmidt, H. und Frank, A. (2020). Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis. Datenbank-Spektrum, 20, 131-141.
Broscheit, S., Gashteovski, K., Wang, Y. und Gemulla, R. (2020). Can we predict new facts with open knowledge graph embeddings? A benchmark for open link prediction. In , ACL 2020 : the 58th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference, ACL 2020The 58th Annual Meeting of theAssociation for Computational LinguisticsProceedings of the Conference, July 5 – 10, 2020 (S. 2296-2308). , Association for Computational Linguistics: Stroudsburg, PA.
Broscheit, S., Ruffinelli, D., Kochsiek, A., Betz, P. und Gemulla, R. (2020). LibKGE – A knowledge graph embedding library for reproducible research. In , The 2020 Conference on Empirical Methods in Natural Language Processing : proceedings of systems demonstrations, November 16-20, 2020, EMNLP 2020 (S. 165-174). , Association for Computational Linguistics (ACL): Stroudsburg, PA 18360 USA.
Debjit, P., Opitz, J., Becker, M., Kobbe, J., Hirst, G. und Frank, A. (2020). Argumentative relation classification with background knowledge. In , Computational models of argument : proceedings of COMMA 2020 (S. 319-330). Frontiers in Artificial Intelligence and Applications, IOS Press: Amsterdam.
Fink, M., Meilicke, C. und Stuckenschmidt, H. (2020). Explaining differences between unaligned table snapshots. In , Advances in Database Technology – EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 – April 02, proceedings (S. 133-144). , OpenProceedings.org: Copenhagen.
Frendo, O., Graf, J., Gärtner, N. und Stuckenschmidt, H. (2020). Data-driven smart charging for heterogeneous electric vehicle fleets. Energy and AI, 1, 1-13.
Frendo, O., Gärtner, N. und Stuckenschmidt, H. (2020). Improving smart charging prioritization by predicting electric vehicle departure time. IEEE Transactions on Intelligent Transportation Systems, 1-8.
Fürnkranz, J., Kliegr, T. und Paulheim, H. (2020). On cognitive preferences and the plausibility of rule-based models. Machine Learning, 109, 853-898.
Gashteovski, K. (2020). Compact open information extraction: methods, corpora, analysis. Dissertation, . Mannheim.
Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S. und Meilicke, C. (2020). On aligning OpenIE extractions with Knowledge Bases: A case study. In , Evaluation and Comparison of NLP Systems : proceedings of the first workshop, november 20, 2020 (S. 143-154). , Association for Computational Linguistics (ACL): Stroudsburg, PA 18360, USA.
Gerdon, F., Theil, C. K., Kern, C., Bach, R. L., Kreuter, F., Stuckenschmidt, H. und Eckert, K. (2020). Exploring impacts of artificial intelligence on urban societies with social simulations. 40. Kongress der Deutschen Gesellschaft für Soziologie, Online.
Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2020). Knowledge Graphs on the web – An overview. In Knowledge Graphs for eXplainable artificial intelligence : foundations, applications and challenges (S. 3-22). Amsterdam; Heidelberg: IOS Press / AKA.
Heist, N. und Paulheim, H. (2020). Entity extraction from Wikipedia list pages. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 327-342). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Hertling, S. und Paulheim, H. (2020). ATBox results for OAEI 2020. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 168-175). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hertling, S. und Paulheim, H. (2020). DBkWik: extracting and integrating knowledge from thousands of Wikis. Knowledge and Information Systems, 62, 2169-2190.
Hertling, S. und Paulheim, H. (2020). The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias. In , The semantic web : 17th international conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020 : proceedings (S. 343-359). , Springer: Cham.
Hertling, S., Portisch, J. und Paulheim, H. (2020). Supervised ontology and instance matching with MELT. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 60-71). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Huber, J. und Stuckenschmidt, H. (2020). Daily retail demand forecasting using machine learning with emphasis on calendric special days. International Journal of Forecasting, 36, 1420-1438.
Hulpus, I., Kobbe, J., Stuckenschmidt, H. und Hirst, G. (2020). Knowledge graphs meet moral values. In , Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics : Barcelona, Spain (Online), December 2020 (S. 71-80). , Association for Computational Linguistics: Stroudsburg, PA.
Iana, A. und Paulheim, H. (2020). More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings. In , CIKMW2020 : Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) Galway, Ireland, October 19-23, 2020 (S. Paper 5, 15-8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Keuper, M., Tang, S., Andres, B., Brox, T. und Schiele, B. (2020). Motion segmentation & multiple object tracking by correlation co-clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 140-153.
Kobbe, J., Hulpus, I. und Stuckenschmidt, H. (2020). Unsupervised stance detection for arguments from consequences. In , EMNLP 2020 : proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 16th – 20th November 2020 (S. 50-60). , Association for Computational Linguistics: Online.
Kobbe, J., Rehbein, I., Hulpus, I. und Stuckenschmidt, H. (2020). Exploring morality in argumentation. In , Proceedings of the 7th Workshop on Argument Mining : Barcelona, Spain (Online), December 13, 2020 (S. 30-40). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Kolthoff, K., Bartelt, C. und Ponzetto, S. P. (2020). GUI2WiRe: Rapid wireframing with a mined and large-scale GUI repository using natural language requirements. In , ASE 2020 : 35th IEEE/ACM International Conference on Automated Software Engineering : Mon 21 – Fri 25 September 2020, Melbourne, Australia : Tool Demonstrations (S. 1297-1301). , ACM: New York, NY.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Vulić, I. (2020). A general framework for implicit and explicit debiasing of distributional word vector spaces. In , The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Innovative Applications of Artificial Intelligence Conference, the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence : New York, NY, February 7-12, 2020 (S. 8131-8138). , AAAI Press: Palo Alto, CA.
Lüdemann, N., Shiba, A., Thymianis, N., Heist, N., Ludwig, C. A. und Paulheim, H. (2020). A knowledge graph for assessing aggressive tax planning strategies. In , The Semantic Web – ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II (S. 395-410). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Marton, S., Bartelt, C. und Stuckenschmidt, H. (2020). Machine learning for converting Black-Box models to interpretable functions. PhD Forum, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, Online.
Melo, A. und Paulheim, H. (2020). Automatic detection of relation assertion errors and induction of relation constraints. Semantic Web, 11, 801-830.
Monych, M., Portisch, J., Hladik, M. und Paulheim, H. (2020). DESKMatcher. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 181-186). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Oulabi, Y. (2020). Augmenting cross-domain knowledge bases using web tables. Dissertation, . Mannheim.
Paulheim, H. (2020). Beyond DBpedia & YAGO – The new kids on the knowledge graph block. In , AICS 2019 : Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science NUI Galway, Galway, Ireland, December 5-6th, 2019 (S. 1-2). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Paulheim, H., Tresp, V. und Liu, Z. (2020). Representation learning for the Semantic Web. Journal of Web Semantics, 61/62, Article 100570.
Peeters, R., Bizer, C. und Glavaš, G. (2020). Intermediate training of BERT for product matching. In , DI2KG 2020 : Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31, 2020 (S. 1-2). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Peeters, R., Primpeli, A., Wichtlhuber, B. und Bizer, C. (2020). Using schema.org annotations for training and maintaining product matchers. In , WIMS 2020: proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 – July 3, 2020 (S. 195-204). , ACM: New York, NY.
Petrovski, P. und Bizer, C. (2020). Learning expressive linkage rules from sparse data. Semantic Web, 11, 549-567.
Portisch, J. (2020). Towards matching of domain-specific schemas using general-purpose external background knowledge. In , The semantic web: ESWC 2020 satellite events : ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 – June 4, 2020 : revised selected papers (S. 270-279). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Fallatah, O., Neumaier, S., Jaradeh, M. Y. und Polleres, A. (2020). Challenges of linking organizational information in open government data to knowledge graphs. In , Knowledge Engineering and Knowledge Management : 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, proceedings (S. 271-286). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Hertling, S. und Paulheim, H. (2020). Visual analysis of ontology matching results with the MELT Dashboard. In , The semantic web: ESWC 2020 satellite events : ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 – June 4, 2020 : revised selected papers (S. 186-190). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Hladik, M. und Paulheim, H. (2020). ALOD2Vec Matcher results for OAEI 2020. In , OM 2020 – Ontology Matching 2020 – Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) (S. 147-153). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Portisch, J., Hladik, M. und Paulheim, H. (2020). KGvec2go – Knowledge graph embeddings as a service. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5641-5647). , ELRA: Paris.
Portisch, J., Hladik, M. und Paulheim, H. (2020). RDF2Vec Light – a lightweight approach for knowledge graph embeddings. In , ISWC-Posters 2020 : Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020) Globally online, November 1-6, 2020 (UTC) (S. 79-84). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Portisch, J., Hladik, M. und Paulheim, H. (2020). Wiktionary Matcher. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 181-188). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Portisch, J. und Paulheim, H. (2020). Wiktionary matcher results for OAEI 2020. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 225-232). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A. und Bizer, C. (2020). Profiling entity matching benchmark tasks. In , CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management : (S. 3101-3108). , Association for Computing Machinery: New York, NY.
Primpeli, A., Bizer, C. und Keuper, M. (2020). Unsupervised bootstrapping of active learning for entity resolution. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 215-231). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Renz-Wieland, A., Gemulla, R., Zeuch, S. und Markl, V. (2020). Dynamic parameter allocation in parameter servers. In , (S. 1877-1890). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
Ruffinelli, D., Broscheit, S. und Gemulla, R. (2020). You CAN teach an old dog new tricks! On training knowledge graph embeddings. In , ICLR 2020 : Eighth International Conference on Learning Representations : virtual conference, formerly Addis Ababa ETHIOPIA, Sun Apr 26th through May 1st (S. 1-12). , ICLR: La Jolla, CA.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2020). Robust decision tree induction from unreliable data sources. In , STAIRS 2020 : Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago Compostela, Spain, August, 2020 (S. Paper 6, 1-8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2020). Tree-based learning for dynamic data streams. PhD Forum, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020, Online.
Schreckenberger, C., Glockner, T., Stuckenschmidt, H. und Bartelt, C. (2020). Restructuring of Hoeffding trees for Trapezoidal Data Streams. In , 20th IEEE International Conference on Data Mining Workshops : 17–20 November 2020, Virtual Conference : Proceedings (S. 416-423). , IEEE: Los Alamitos, CA [u.a.].
Theil, C. K. und Stuckenschmidt, H. (2020). Predicting modality in financial dialogue. In , FNP-FNS 2020 : Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, December 2020, Barcelona, Spain (Online) (S. 226-234). ACL Anthology, Association for Computational Linguistics: Stroudsburg, PA.
Theil, C. K., Štajner, S. und Stuckenschmidt, H. (2020). Explaining financial uncertainty through specialized word embeddings. ACM/IMS Transactions on Data Science : TDS, 1, Article 6, 1-19.
Zhang, Z., Bizer, C., Peeters, R. und Primpeli, A. (2020). MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data. In , MWPD 2020 : Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 5, 2020 (S. 2-18). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Štajner, S. und Hulpus, I. (2020). When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 1414-1422). , European Language Resources Association, ELRA-ELDA: Paris.
Štajner, S., Nisioi, S. und Hulpus, I. (2020). CoCo: A tool for automatically assessing conceptual complexity of texts. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 7179-7186). , European Language Resources Association: Paris.

2019

Abercrombie, G., Nanni, F., Batista-Navarro, R. und Ponzetto, S. P. (2019). Policy preference detection in parliamentary debate motions. In , Proceedings of the 23rd Conference on Computational Natural Language Learning : CoNLL 2019 (S. 249-259). , Association for Computational Linguistics: Stroudsburg, PA.
Algergawy, A., Faria, D., Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jiménez-Ruiz, E., Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. und Zhou, L. (2019). Results of the Ontology Alignment Evaluation Initiative 2019. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 46-85). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Alhersh, T., Brahim Belhaouari, S. und Stuckenschmidt, H. (2019). Action recognition using local visual descriptors and inertial data. In , Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings (S. 123-138). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Alhersh, T. und Stuckenschmidt, H. (2019). On the combination of IMU and optical flow for action recognition. In , 2019 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) : 11–15 March 2019 in Kyoto, Japan (S. 17-21). 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE: Piscataway, NJ.
Alhersh, T. und Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In , Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : February 25-27, 2019, in Prague, Czech Republic ; Volume 5: VISAPP (S. 776-783). Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP, SciTePress: Setúbal, Portugal.
Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S. P., Biemann, C. und Panchenko, A. (2019). HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings. In , NAACL HLT 2019 : The International Workshop on Semantic Evaluation, Proceedings of the Thirteenth Workshop, June 6-June 7, 2019, Minneapolis, Minnesota, USA (S. 125-129). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Beedkar, K., Gemulla, R. und Mertens, W. (2019). A unified framework for frequent sequence mining with subsequence constraints. ACM Transactions on Database Systems : TODS, 44, 11:1-11:42.
Beedkar, K., Gemulla, R. und Renz-Wieland, A. (2019). The DESQ framework for declarative and scalable frequent sequence mining. In , Informatik 2019 : 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft : Konferenzbeiträge der 49. Jahrestagung der Gesellschaft für Informatik : 23.-26.9.2019, Kassel, Deutschland (S. 249-250). GI-Edition : Lecture Notes in Informatics. Proceedings, Geellschaft für Informatik: Bonn.
Bizer, C., Primpeli, A. und Peeters, R. (2019). Using the Semantic Web as a source of training data. Datenbank-Spektrum, 19, 127-135.
Burzlaff, F. und Bartelt, C. (2019). A conceptual architecture for enabling future self-adaptive service systems. In , 52nd Hawaii International Conference on System Sciences, HICSS 2019, Grand Wailea, Maui, Hawaii, USA, January 8-11, 2019 (S. 1-10). , AISeL: Atlanta, GA.
Civitarese, G., Bettini, C., Sztyler, T., Riboni, D. und Stuckenschmidt, H. (2019). newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive and Mobile Computing, 56, 88-105.
Diete, A. und Stuckenschmidt, H. (2019). Fusing object information and inertial data for activity recognition. Sensors, 19, 4119, 1-22.
Diete, A., Sztyler, T. und Stuckenschmidt, H. (2019). Vision and acceleration modalities: Partners for recognizing complex activities. In , 2019 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops) : took place 11–15 March 2019 in Kyoto, Japan (S. 101-106). , IEEE Computer Society: Piscataway, NJ.
Frendo, O., Gärtner, N. und Stuckenschmidt, H. (2019). Real-time smart charging based on precomputed schedules. IEEE Transactions on Smart Grid, 10, 6921-6932.
Gashteovski, K., Wanner, S., Hertling, S., Broscheit, S. und Gemulla, R. (2019). OPIEC: An open information extraction corpus. In , AKBC 2019 : 1st Conference on Automated Knowledge Base Construction (AKBC) : May 20-22, 2019, Monday-Wednesday, Amherst, MA (S. 1-19). , OpenReview.net: Amherst, MA.
Heist, N. und Paulheim, H. (2019). Uncovering the semantics of Wikipedia categories. In , The Semantic Web – ISWC 2019 : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I (S. 219-236). Information Systems and Applications, incl. Internet/Web, and HCI, Springer: Cham.
Hertling, S. und Paulheim, H. (2019). DOME Results for OAEI 2019. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 123-130). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hertling, S., Portisch, J. und Paulheim, H. (2019). MELT – Matching EvaLuation Toolkit. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 231-245). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Huber, J. (2019). Data-driven decision support for perishable goods. Dissertation, . Mannheim.
Huber, J., Müller, S., Fleischmann, M. und Stuckenschmidt, H. (2019). A data-driven newsvendor problem: From data to decision. European Journal of Operational Research : EJOR, 278, 904-915.
Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase, V., Stuckenschmidt, H. und Frank, A. (2019). Towards explaining natural language arguments with background knowledge. In , PROFILES-SEMEX 2019 : Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-loc. with 18th International Semantic Web Conference (ISWC 2019) Auckland, NZ, Oct. 27, 2019 (S. 62-77). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hulpus, I., Štajner, S. und Stuckenschmidt, H. (2019). A spreading activation framework for tracking conceptual complexity of texts. In , 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 : Proceedings of the conference : July 28 – August 2, 2019, Florence, Italy (S. 3878-3887). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Iana, A., Jung, S., Naeser, P., Birukou, A., Hertling, S. und Paulheim, H. (2019). Building a conference recommender system based on SciGraph and WikiCFP. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 117-123). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Kardoost, A. und Keuper, M. (2019). Solving minimum cost lifted multicut problems by node agglomeration. In , Computer Vision – ACCV 2018 : 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part IV (S. 74-89). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H. und Frank, A. (2019). Exploiting background knowledge for argumentative relation classification. In , 2nd Conference on Language, Data and Knowledge (LDK 2019) (S. 8:1-8:14). OASIcs – OpenAccess Series in Informatics, Leibniz-Zentrum für Informatik: Wadern.
Krstanovic, S. und Paulheim, H. (2019). Fourier-based parametrization of convolutional neural networks for robust time series forecasting. In , Discovery Science 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings (S. 522-532). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Krstanovic, S. und Paulheim, H. (2019). Stacked LSTM snapshot ensembles for time series forecasting. In , Theory and applications of time series analysis : selected contributions from ITISE 2018 (S. 87-98). Contributions to Statistics, Springer International Publishing: Cham.
Krupitzer, C., Sztyler, T., Edinger, J., Breitbach, M., Stuckenschmidt, H. und Becker, C. (2019). Beyond position-awareness – extending a self-adaptive fall detection system. Pervasive and Mobile Computing, 58, Article 101026.
Kuss, E. (2019). Evaluation of process model matching techniques. Dissertation, . Mannheim.
Lauscher, A. und Glavaš, G. (2019). Are we consistently biased? Multidimensional analysis of biases in distributional word vectors. In , Lexical and Computational Semantics (*SEM) – proceedings of the eighth conference : June 6-7, 2019, Minneapolis : NAACL HLT 2019 (S. 85-91). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Vulić, I. (2019). A general framework for implicit and explicit debiasing of distributional word vector spaces. Ithaca, NY: Cornell University.
Lauscher, A., Song, Y. und Gashteovski, K. (2019). MinScIE: Citation-centered open information extraction. In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 386-387). , ACM Press: New York, NY.
Lauscher, A., Vulić, I., Ponti, E. M., Korhonen, A. und Glavaš, G. (2019). Informing unsupervised pretraining with external linguistic knowledge. Ithaca, NY: Cornell University.
Lehmberg, O. (2019). Web table integration and profiling for knowledge base augmentation. Dissertation, . Mannheim.
Lehmberg, O. und Bizer, C. (2019). Profiling the semantics of n-ary web table data. In , Proceedings of the International Workshop on Semantic Big Data : SBD '19, Amsterdam, The Netherlands, June 30 – July 5, 2019 (S. 5:1-5:6). , ACM: New York, NY, USA.
Lehmberg, O. und Bizer, C. (2019). Synthesizing N-ary relations from web tables. In , WIMS2019 : Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Republic of Korea, June 26 – 28, 2019 (S. 17:1-17:12). , ACM: New York, NY, USA.
Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). An introduction to AnyBURL. In , KI 2019: Advances in Artificial Intelligence : 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, proceedings (S. 244-248). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). Anytime bottom-up rule learning for knowledge graph completion. In , Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) : August 10-16, 2019, Macao, China (S. 3137-3143). , IJCAI/AAAI Press: Menlo Park, CA.
Melo, A. und Paulheim, H. (2019). Local and global feature selection for multilabel classification with binary relevance : An empirical comparison on flat and hierarchical problems. Artificial Intelligence Review, 51, 33-60.
Nanni, F., Menini, S., Tonelli, S. und Ponzetto, S. P. (2019). Semantifying the UK Hansard (1918-2018). In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 412-413). , ACM Press: New York, NY.
Nanni, F., Zhang, J., Betz, F. und Gashteovski, K. (2019). EAL: A toolkit and dataset for entity-aspect linking. In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 430-431). , ACM Press: New York.
Oulabi, Y. und Bizer, C. (2019). Extending cross-domain knowledge bases with long tail entities using web table data. In , Advances in Database Technology – 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019 : proceedings (S. 385-396). , OpenProceedings.org: Konstanz.
Oulabi, Y. und Bizer, C. (2019). Using weak supervision to identify long-tail entities for knowledge base completion. In , Semantic systems : The power of AI and knowledge graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, proceedings (S. 83-98). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Portisch, J., Hladik, M. und Paulheim, H. (2019). Evaluating ontology matchers on real-world financial services data models. In , SEMPDS 2019 : Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019) Karlsruhe, Germany, September 9th to 12th, 2019 (S. 1-5). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A. und Bizer, C. (2019). Robust active learning of expressive linkage rules. In , WIMS2019 : Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Republic of Korea, June 26 – 28, 2019 (S. 2:1-2:7). , ACM: New York, NY.
Primpeli, A., Peeters, R. und Bizer, C. (2019). The WDC training dataset and gold standard for large-scale product matching. In , Companion Proceedings of The 2019 World Wide Web Conference (S. 381-386). , ACM: New York, NY, USA.
Renz-Wieland, A., Bertsch, M. und Gemulla, R. (2019). Scalable frequent sequence mining with flexible subsequence constraints. In , IEEE 35th International Conference on Data Engineering : ICDE 2019 : Macau SAR, China, 8–11 April 2019 : proceedings (S. 1490-1501). , IEEE: Piscataway, NJ.
Ristoski, P., Rosati, J., Di Noia, T., De Leone, R. und Paulheim, H. (2019). RDF2Vec: RDF graph embeddings and their applications. Semantic Web, 10, 721-752.
Schrage, F., Heist, N. und Paulheim, H. (2019). Extracting literal assertions for DBpedia from Wikipedia abstracts. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 288-294). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In , PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, ACM: New York, NY.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). iDropout: Leveraging deep taylor decomposition for the robustness of deep neural networks. In , On the Move to Meaningful Internet Systems: OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings (S. 113-126). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schreckenberger, C., Beckmann, S. und Bartelt, C. (2019). Next place prediction: A systematic literature review. In , PredictGIS 2018 : Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility : ACM GIS 2018 Conference: November 6 – November 9, 2018, Seattle, Washington (S. 37-45). Proceedings of the 2Nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility, ACM: New York, NY.
Schäfer, B. und Stuckenschmidt, H. (2019). Arrow R-CNN for flowchart recognition. In , 2019 International Conference on Document Analysis and Recognition workshops (ICDARW) : 22–25 Sept. 2019, Sydney, Australia (S. 7-13). , IEEE: Piscataway, NJ.
Sztyler, T. (2019). Sensor-based human activity recognition: Overcoming issues in a real world setting. Dissertation, . Mannheim.
Theil, C. K., Broscheit, S. und Stuckenschmidt, H. (2019). PRoFET: Predicting the risk of firms from event transcripts. In , Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 (S. 5211-5217). , IJCAI/AAAI Press: Menlo Park, CA.
Ustalov, D., Panchenko, A., Biemann, C. und Ponzetto, S. P. (2019). Watset: Local-global graph clustering with applications in sense and frame induction. Computational Linguistics, 45, 423-479.
Wang, Y., Ruffiinelli, D., Gemulla, R., Broscheit, S. und Meilicke, C. (2019). On evaluating embedding models for knowledge base completion. In , The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) – proceedings of the workshop : August 2, 2019, Florence, Italy : ACL 2019 (S. 104-112). , Association for Computational Linguistics: Florence, Italy.

2018

Ustalov, D., Filchenkov, A., Pivovarova, L. und Žižka, J. (eds.) (2018). Artificial Intelligence and Natural Language : 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, Proceedings. Cham: Springer.
Gemulla, R., Ponzetto, S. P., Bizer, C., Keuper, M. und Stuckenschmidt, H. (eds.) (2018). LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen”, Mannheim, Germany, August 22-24, 2018. Aachen, Germany: RWTH Aachen.
Gangemi, A., Gentile, A. L., Nuzzolese, A. G., Rudolph, S., Maleshkova, M., Paulheim, H., Pan, J. Z. und Alam, M. (eds.) (2018). The Semantic Web: ESWC 2018 Satellite Events : ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. Berlin [u.a.]: Springer.
Algergawy, A., Cheatham, M., Faria, D., Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jiménez-Ruiz, E., Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Schmidt, D., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. und Zhou, L. (2018). Results of the Ontology Alignment Evaluation Initiative 2018. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 76-116). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Bizer, C., Vidal, M.-E. und Skaf-Molli, H. (2018). Linked Open Data. In , Encyclopedia of Database Systems (S. 2096-2101). New York, NY: Springer.
Bizer, C., Vidal, M.-E. und Weiss, M. (2018). RDF Technology. In , Encyclopedia of Database Systems (S. 3106-3109). New York, NY: Springer.
Bizer, C., Vidal, M.-E. und Weiss, M. (2018). Resource Description Framework. In , Encyclopedia of Database Systems (S. 3221-3224). New York, NY: Springer.
Broscheit, S., Gemulla, R. und Keuper, M. (2018). Learning distributional token representations from visual features. In , ACL 2018, Representation Learning for NLP : Proceedings of the Third Workshop : July 20, 2018 Melbourne, Australia (S. 187-194). , Association for Computational Linguistics: Stroudsburg, PA.
Burzlaff, F. und Bartelt, C. (2018). I4.0-device integration: A qualitative analysis of methods and technologies utilized by system integrators: Implications for enginering future industrial internet of things system. In , 2018 IEEE 15th International Conference on Software Architecture companion : ICSA-C 2018 : proceedings : 30 April-4 May 2018, Seattle, Washington (S. 27-34). , IEEE: Piscataway, NJ.
Burzlaff, F., Bartelt, C. und Adler, L. (2018). Towards automating service matching for manufacturing systems: Exemplifying knowledge-driven architecture composition. In , 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018), Stockholm, Sweden, 16–18 May 2018 (S. 707-713). Procedia CIRP, Elsevier ; Curran: Amsterdam ; Red Hook, NY.
Burzlaff, F., Bartelt, C. und Stuckenschmidt, H. (2018). Next steps in knowledge-driven architecture composition. In , LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen” Mannheim, Germany, August 22-24, 2018 (S. 78-83). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Chekol, M. W., Euzenat, J., Genevès, P. und Layaida, N. (2018). SPARQL query containment under schema. Journal on Data Semantics : JoDS, 7, 133-154.
Chekol, M. W. und Stuckenschmidt, H. (2018). Towards partition-aware lifted inference. In , CIKM'18 : proceedings of the 27th ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (S. 1823-1826). , ACM Digital Library: New York, NY.
Chekol, M. W. und Stuckenschmidt, H. (2018). Towards probabilistic bitemporal knowledge graphs. In , WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 – 27, 2018 (S. 1757-1762). , ACM Digital Library: New York, NY.
Chekol, M. W. und Stuckenschmidt, H. (2018). Tractable reasoning in probabilistic OWL profiles. In , Proceedings of the 33rd Annual ACM Symposium on Applied Computing 2018 (S. 888-895). , ACM Digital Library: New York, NY.
Civitarese, G., Bettini, C., Sztyler, T., Riboni, D. und Stuckenschmidt, H. (2018). NECTAR: Knowledge-based collaborative active learning for activity recognition. In , 2018 IEEE International Conference on Pervasive Computing and Communications : Athens, Greece, March 19-23, 2018 (S. 1-10). , IEEE Computer Society: Piscataway, NJ.
Diete, A., Sztyler, T. und Stuckenschmidt, H. (2018). Exploring semi-supervised methods for labeling support in multimodal datasets. Sensors, 18, Article 2639.
Diete, A., Sztyler, T., Weiland, L. und Stuckenschmidt, H. (2018). Improving motion-based activity recognition with ego-centric vision. In , 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018 (S. 448-491). , IEEE Computer Society: Piscataway, NJ.
Fink, M. und Stuckenschmidt, H. (2018). Schema mapping discovery from example data using ILP. 28th International Conference on Inductive Logic Programming – ILP2018, Ferrara, Italy.
Heist, N. (2018). Towards knowledge graph construction from entity co-occurrence. In , EKAW-DC 2018 : Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018) Nancy, France, November 13, 2018 (S. 1-8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Heist, N., Hertling, S. und Paulheim, H. (2018). Language-agnostic relation extraction from abstracts in Wikis. Information, 9, 75.
Helmstetter, S. und Paulheim, H. (2018). Weakly supervised learning for fake news detection on Twitter. In , ASONAM 2018 : 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Barcelona, Spain, 28–31 August, 2018 (S. 274-277). , IEEE Computer Society: Washington, DC.
Hertling, S. und Paulheim, H. (2018). DBkWik: A consolidated knowledge graph from thousands of Wikis. In , 9th IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018 : proceedings (S. 17-24). , IEEE Computer Society: Piscataway, NJ [u.a.].
Hertling, S. und Paulheim, H. (2018). DOME results for OAEI 2018. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 144-151). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hertling, S. und Paulheim, H. (2018). Provision and usage of provenance data in the WebIsALOD Knowledge Graph. In , CKGSemStats 2018 : Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th, 2018 (S. Article 6). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Ilg, E., Saikia, T., Keuper, M. und Brox, T. (2018). Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation. In , Computer Vision – ECCV 2018 : 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII (S. 626-643). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Ilg, E., Saikia, T., Keuper, M. und Brox, T. (2018). Occlusions, motion and depth boundaries with a generic network for disparity, optical flow or scene flow estimation. Computing Research Repository (CoRR), 2018, 1-26.
Jiménez-Ruiz, E., Saveta, T., Zamazal, O., Hertling, S., Röder, M., Fundulaki, I., Ngonga Ngomo, A.-C., Sherif, M. A., Annane, A., Bellahsene, Z., Ben Yahia, S., Diallo, G., Faria, D., Kachroudi, M., Khiat, A., Lambrix, P., Li, H., Mackeprang, M., Mohammadi, M., Rybinski, M., Balasubramani, B. S. und Trojahn, C. (2018). Introducing the HOBBIT platform into the ontology alignment evaluation campaign. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 49-60). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Keiper, T., Lyu, Z., Pooladzadeh, S., Xu, Y., Zhang, J., Lauscher, A. und Ponzetto, S. P. (2018). UniMa at SemEval-2018 Task 7 : semantic relation extraction and classification from scientific publications. In , The International Workshop on Semantic Evaluation – proceedings of the twelfth workshop : June 5-June 6, 2018, New Orleans, Louisiana : NAACL HLT 2018 (S. 826-830). , Association for Computational Linguistics: Stroudsburg, PA.
Kleppmann, B., Bizer, C., Yaqub, E., Temme, F., Schlunder, P., Arnu, D. und Klinkenberg, R. (2018). Density- and correlation-based table extension. In , LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen” Mannheim, Germany, August 22-24, 2018 (S. 191-194). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Krupitzer, C., Sztyler, T., Edinger, J., Breitbach, M., Stuckenschmidt, H. und Becker, C. (2018). Hips do lie! A position-aware mobile fall detection system. In , 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom) : Athens, Greece, March 19-23, 2018 (S. 1-10). , IEEE Computer Society: Piscataway, NJ.
Kuss, E., Leopold, H., der Aa, H., Stuckenschmidt, H. und Reijers, H. A. (2018). A probabilistic evaluation procedure for process model matching techniques. Data & Knowledge Engineering, 117, 393-406.
Lausch, A., Borg, E., Bumberger, J., Dietrich, P., Heurich, M., Huth, A., Jung, A., Klenke, R., Knapp, S., Mollenhauer, H., Paasche, H., Paulheim, H., Pause, M., Schweitzer, C., Schmulius, C., Settele, J., Skidmore, A. K., Wegmann, M., Zacharias, S., Kirsten, T. und Schaepman, M. E. (2018). Understanding forest health with remote sensing, part III: Requirements for a scalable multi-source forest health monitoring network based on data science approaches. Remote Sensing, 10, 1120.
Lauscher, A., Eckert, K., Galke, L., Scherp, A., Rizvi, S. T. R., Ahmed, S., Dengel, A., Zumstein, P. und Klein, A. (2018). Linked Open Citation Database : enabling libraries to contribute to an open and interconnected citation graph. In , Joint Conference on Digital Libraries 2018 : June 3-6, 2018 in Fort Worth, Texas : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) (S. 109-118). , ACM Press: New York, NY.
Lauscher, A., Glavaš, G. und Eckert, K. (2018). ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing. In , Proceedings of the 5th Workshop on Argument Mining : November 1, 2018, Brussels, Belgium : EMNLP 2018 (S. 22-28). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Glavaš, G. und Ponzetto, S. P. (2018). An argument-annotated corpus of scientific publications. In , Proceedings of the 5th Workshop on Argument Mining : November 1, 2018, Brussels, Belgium : EMNLP 2018 (S. 40-46). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Eckert, K. (2018). Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models. In , EMNLP 2018 : Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, Oct. 31-Nov. 4 (S. 3326-3338). , Association for Computational Linguistics: Stroudsburg, PA.
Leblay, J. und Chekol, M. W. (2018). Deriving validity time in knowledge graph. In , WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 – 27, 2018 (S. 1771-1776). , ACM Digital Library: New York, NY.
Meilicke, C., Fink, M., Wang, Y., Ruffinelli, D., Gemulla, R. und Stuckenschmidt, H. (2018). Fine-grained evaluation of rule- and embedding-based systems for knowledge graph completion. In , The Semantic Web – ISWC 2018 : 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I (S. 3-20). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Melo, A. (2018). Automatic refinement of large-scale cross-domain knowledge graphs. Dissertation, . Mannheim.
Nanni, F. (2018). Collecting primary sources from web archives: A tale of scarcity and abundance. In The SAGE handbook of web history (S. 112-124). Los Angeles [u.a.]: Sage Publishing.
Nanni, F., Dietz, L. und Ponzetto, S. P. (2018). Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts. Digital Scholarship in the Humanities : DSH, 33, 612-620.
Nanni, F., Glavaš, G., Ponzetto, S. P., Tonelli, S., Conti, N., Aker, A., Aprosio, A. P., Bleier, A., Carlotti, B., Gessler, T., Henrichsen, T., Hovy, D., Kahmann, C., Karan, M., Matsuo, A., Menini, S., Nguyen, D., Niekler, A., Posch, L., Vegetti, F., Waseem, Z., Whyte, T. und Yordanova, N. (2018). Findings from the hackathon on understanding euroscepticism through the lens of textual data. In , Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 59-66). , LREC: Miyazaki, Japan.
Nanni, F., Osman, M., Cheng, Y.-R., Ponzetto, S. P. und Dietz, L. (2018). UKParl: A data set for topic detection with semantically annotated text. In , Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 29-32). , LREC: Miyazaki, Japan.
Nanni, F., Ponzetto, S. P. und Dietz, L. (2018). Entity-aspect linking : providing fine-grained semantics of entities in context. In , Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries : June 3-6, 2018 in Fort Worth, Texas (S. 49-58). , ACM: New York, NY.
Panchenko, A., Lopukhina, A., Ustalov, D., Lopukhin, K., Arefyev, N., Leontyev, A. und Loukachevitch, N. (2018). RUSSE'2018 : a shared task on word sense induction for the Russian language. In , Computational Linguistics and Intellectual Technologies : Papers from the Annual conference “Dialogue” 2018 : 24th International Conference on Computational Linguistics and Intellectual Technologies, May 30 – June 2, 2018 Moscow (S. 547-564). Dialogue, RSUH: Moscow, Russia.
Panchenko, A., Ustalov, D., Faralli, S., Ponzetto, S. P. und Biemann, C. (2018). Improving hypernymy extraction with distributional semantic classes. In , LREC 2018, 11th International Conference on Language Resources and Evaluation : 7–12 May 2018, Miyazaki (Japan) (S. 1541-1551). , European Language Resources Association, ELRA-ELDA: Paris.
Paulheim, H. (2018). How much is a triple? Estimating the cost of knowledge graph creation. In , ISWC-P&D-Industry-BlueSky 2018 : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018) Monterey, USA, October 8th to 12th, 2018 (S. Paper 10). , RWTH: Aachen.
Paulheim, H. (2018). Machine learning with and for semantic web knowledge graphs. In , Reasoning Web: Learning, Uncertainty, Streaming, and Scalability : 14th International Summer School 2018 Esch-sur-Alzette, Luxembourg, September 22 – 26, 2018 Tutorial Lectures (S. 110-141). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Paulheim, H. (2018). Make embeddings semantic again!. In , ISWC-P&D-Industry-BlueSky 2018 : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018) Monterey, USA, October 8th to 12th, 2018 (S. 4). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Pfeiffer, J., Broscheit, S., Gemulla, R. und Göschl, M. (2018). A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval. In , SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 17th BioNLP Workshop : July 19, 2018 Melbourne, Australia (S. 87-97). , Association for Computational Linguistics: Stroudsburg, PA.
Portisch, J. und Paulheim, H. (2018). ALOD2Vec matcher. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 132-137). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Rico, M., Mihindukulasooriya, N., Kontokostas, D., Paulheim, H., Hellmann, S. und Gómez-Pérez, A. (2018). Predicting incorrect mappings : a data-driven approach applied to DBpedia. In , SAC '18 : the 33rd ACM/SIGAPP Symposium On Applied Computing, Pau, France, April 9 – 13, 2018, proceedings (S. 323-330). , ACM: New York, NY.
Ristoski, P. (2018). Exploiting semantic web knowledge graphs in data mining. Dissertation, . Mannheim.
Ristoski, P., Petrovski, P., Mika, P. und Paulheim, H. (2018). A machine learning approach for product matching and categorization. Semantic Web, 9, 707-728.
Schönfisch, J. (2018). Scalable integration of uncertainty reasoning and semantic web technologies. Dissertation, . Mannheim.
Schönfisch, J., Meilicke, C., von Stülpnagel, J., Ortmann, J. und Stuckenschmidt, H. (2018). Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks. Information Systems : IS, 74, 103-116.
Sztyler, T., Civitarese, G. und Stuckenschmidt, H. (2018). Modeling and reasoning with ProbLog: an application in recognizing complex activities. In , 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018 (S. 259-264). , IEEE Computer Society: Piscataway, NJ.
Sztyler, T., Meilicke, C. und Stuckenschmidt, H. (2018). Towards systematic benchmarking of activity recognition algorithms. In , 2018 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops) : 2018 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops), 19–23 March 2018 in Athens, Greece (S. 15-20). , IEEE Computer Society: Piscataway, NJ.
Theil, C. K., Štajner, S. und Stuckenschmidt, H. (2018). Word embeddings-based uncertainty detection in financial disclosures. In , Economics and Natural Language Processing – proceedings of the First workshop (ECONLP 2018) : July 20, 2018, Melbourne, Australia : ACL 2018 (S. 32-37). , Association for Computational Linguistics: Stroudsburg, PA.
Theil, C. K., Štajner, S., Stuckenschmidt, H. und Ponzetto, S. P. (2018). Automatic detection of uncertain statements in the financial domain. In , Computational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II (S. 642-654). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Ustalov, D. (2018). Graph clustering for natural language processing. Artificial Intelligence and Natural Language, 7th International Conference, AINL 2018, St Petersburg, Russia.
Ustalov, D., Chernoskutov, M., Panchenko, A. und Biemann, C. (2018). Fighting with the sparsity of the synonymy dictionaries for automatic synset induction. In , Analysis of Images, Social Networks and Texts : 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers (S. 94-105). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Ustalov, D., Panchenko, A., Biemann, C. und Ponzetto, S. P. (2018). Unsupervised sense-aware hypernymy extraction. In , Proceedings Konvens 2018 = Proceedings of the 14th Conference on Natural Language Processing : Vienna, Austria, September 19-21, 2018 (S. 192-201). , ÖGAI, Österreichische Akademie der Wissenschaften: Vienna.
Ustalov, D., Panchenko, A., Kutuzov, A., Biemann, C. und Ponzetto, S. P. (2018). Unsupervised semantic frame induction using triclustering. In , The 56th Annual Meeting of the Association for Computational Linguistics : ACL 2018 : proceedings of the conference, vol. 2 (short papers) : July 15 – 20, 2018 Melbourne, Australia (S. 55-62). , Association for Computational Linguistics: Stroudsburg, PA.
Ustalov, D., Teslenko, D., Panchenko, A., Chernoskutov, M., Biemann, C. und Ponzetto, S. P. (2018). An unsupervised word sense disambiguation system for under-resourced languages. In , LREC 2018, 11th International Conference on Language Resources and Evaluation : 7–12 May 2018, Miyazaki (Japan) (S. 1018-1022). , European Language Resources Association, ELRA-ELDA: Paris.
Wang, Y., Gemulla, R. und Li, H. (2018). On multi-relational link prediction with bilinear models. In , The Thirty-Second AAAI Conference on Artificial Intelligence, The Thirtieth Innovative Applications of Artificial Intelligence Conference, The Eighth AAAI Symposium on Educational Advances in Artificial Intelligence : New Orleans, Louisiana USA (S. 4227-4234). , AAAI Press: Palo Alto, CA.
Weiland, L. (2018). Understanding the message of images. Dissertation, . Mannheim.
Weiland, L., Hulpus, I., Ponzetto, S. P., Effelsberg, W. und Dietz, L. (2018). Knowledge-rich image gist understanding beyond literal meaning. Data & Knowledge Engineering, 117, 114 – 132.
Štajner, S. und Hulpus, I. (2018). Automatic assessment of conceptual text complexity using knowledge graphs. In , 27th International Conference on Computational Linguistics, COLING 2018 : Proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (S. 318-330). , Association for Computational Linguistics, ACL: Stroudsburg, PA.

2017

Sozykin, A., Radchenko, G. und Ustalov, D. (eds.) (2017). InnoCSE 2017 : Innovative Approaches in Computer Science within Higher Education : Proceedings of the 1st International Workshop on Innovative Approaches in Computer Science within Higher Education, Chelyabinsk, Russia, May 26th, 2017. Aachen, Germany: RWTH Aachen.
van Erp, M., Hellmann, S., McCrae, J. P., Chiarcos, C., Choi, K.-S., Gracia, J., Hayashi, Y., Koide, S., Mendes, P., Paulheim, H. und Takeda, H. (eds.) (2017). Knowledge graphs and language technology : ISWC 2016 International Workshops: KEKI and NLP&DBpedia, Kobe, Japan, October 17-21, 2016, revised selected papers. Berlin [u.a.]: Springer.
Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F. und Hartig, O. (eds.) (2017). The Semantic Web: ESWC 2017 Satellite Events : ESWC 2017 Satellite Events, Portorož, Slovenia, May 28 – June 1, 2017, revised selected papers. Berlin [u.a.]: Springer.
Sozykin, A. und Ustalov, D. (eds.) (2017). Ural-PDC 2017 : Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists : Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists, Yekaterinburg, Russia, October 19th, 2017. Aachen, Germany: RWTH Aachen.
Acar, E., Fink, M., Meilicke, C., Thorne, C. und Stuckenschmidt, H. (2017). Multi-attribute decision making with weighted description logics. IfCoLog Journal of Logics and its Applications, 4, 1973-1996.
Acar, E., Greco, G. und Manna, M. (2017). Group reasoning in social environments. In , AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems : Sao Paulo, Brazil, May 8 – 12, 2017 (S. 1296-1304). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. und Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017. In , OM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21, 2017 (S. 61-113). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Burzlaff, F. (2017). Knowledge-driven architecture composition. In , 47. Jahrestagung der Gesellschaft für Informatik, Informatik 2017, Chemnitz, Germany, September 25-29, 2017 (S. 2365-2370). Lecture Notes in Informatics, Gesellschaft für Informatik e.V.: Bonn.
Burzlaff, F. und Bartelt, C. (2017). Knowledge-driven architecture composition: Case-based formalization of integration knowledge to enable automated component coupling. In , ICSA 2017 : 2017 IEEE International Conference on Software Architecture : side track proceedings : proceedings : 3–7 April 2017, Gothenburg, Sweden (S. 108-111). , IEEE: Piscataway, NJ.
Chekol, M. (2017). Scaling probabilistic temporal query evaluation. In , Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 – 10, 2017 (S. 697-706). , ACM: New York, NY.
Chekol, M. W., Pirrò, G., Schönfisch, J. und Stuckenschmidt, H. (2017). Marrying uncertainty and time in knowledge graphs. In , Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence and the Twenty-Ninth Innovative Applications of Artificial Intelligence Conference : February 4–9, 2017, San Francisco, California USA (S. 88-94). , AAAI Press: San Francisco, CA.
Chekol, M. W., Pirrò, G., Schönfisch, J. und Stuckenschmidt, H. (2017). TeCoRe: temporal conflict resolution in knowledge graphs. In , Proceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases (S. Iss. 12, 1929-1932). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
Chekol, M. W. und Stuckenschmidt, H. (2017). Rule based temporal inference. In , Technical communications of the 33rd International Conference on Logic Programming : ICLP 2017, August 28-September 1, 2017, Melbourne, Australia (S. Article 4, 1-14). Open Access Series in Informatics : OASIcs, Dagstuhl Publishing: Wadern.
Chernoskutov, M. und Ustalov, D. (2017). Synonymy graph connectivity in graph-based word sense induction. In , 2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12–13 Apr 2017 (S. 14-17). , IEEE: Piscataway, NJ.
Cochez, M., Ristoski, P., Ponzetto, S. P. und Paulheim, H. (2017). Biased graph walks for RDF graph embeddings. In , WIMS '17 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics : Amantea, Italy, June 19 – 22, 2017 (S. Article 21, 1-12). , ACM: New York, NY.
Cochez, M., Ristoski, P., Ponzetto, S. P. und Paulheim, H. (2017). Global RDF vector space embeddings. In , The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, proceedings, part I (S. 190-207). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Diete, A., Sztyler, T. und Stuckenschmidt, H. (2017). A smart data annotation tool for multi-sensor activity recognition. In , 2017 IEEE International Conference on Pervasive Computing and Communications Workshops : PERCOM Workshops (S. 111-116). , IEEE Computer Soc.: Piscataway, NJ.
Diete, A., Sztyler, T., Weiland, L. und Stuckenschmidt, H. (2017). Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In , 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops (S. 16-23). Procedia computer science, Elsevier: Amsterdam [u.a.].
Faralli, S., Panchenko, A., Biemann, C. und Ponzetto, S. P. (2017). The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 590-600). , Association for Computational Linguistics: Stroudsburg, PA.
Gashteovski, K., Gemulla, R. und del Corro, L. (2017). MinIE: minimizing facts in open information extraction. In , The Conference on Empirical Methods in Natural Language Processing – proceedings of System Demonstrations : September 9-11, 2017, Copenhagen, Denmark : EMNLP 2017 (S. 2620-2630). , Association for Computational Linguistics: Stroudsburg, PA.
Gentile, A. L., Ristoski, P., Eckel, S., Ritze, D. und Paulheim, H. (2017). Entity matching on web tables: a table embeddings approach for blocking. In , Advances in Database Technology – EDBT 2017 : 20th International Conference on Extending Database Technology, Venice, Italy, March 21–24, 2017, Proceedings (S. 510-513). , OpenProceedings: Konstanz.
Glavaš, G., Nanni, F. und Ponzetto, S. P. (2017). Cross-lingual classification of topics in political texts. In , The 55th Annual Meeting of the Association for Computational Linguistics – proceedings of the Second Workshop on Natural Language Processing and Computational Social Science : August 3, 2017, Vancouver, Canada : ACL 2017 (S. 42-46). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
Glavaš, G., Nanni, F. und Ponzetto, S. P. (2017). Unsupervised cross-lingual scaling of political texts. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 688-693). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G. und Ponzetto, S. P. (2017). Dual tensor model for detecting asymmetric lexico-semantic relations. In , EMNLP 2017 : Conference on Empirical Methods in Natural Language Processing : conference proceedings : Copenhagen, Denmark, September 7-11, 2017 (S. 1757-1767). , Association for Computational Linguistics: Stroudsburg, PA.
He, Y., Chiu, W.-C., Keuper, M. und Fritz, M. (2017). STD2P: RGBD semantic segmentation using spatio-temporal data-driven pooling. In , 30th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2017 : 21–26 July 2016, Honolulu, Hawaii : proceedings (S. 7158-7167). , IEEE: Piscataway, NJ.
He, Y., Keuper, M., Schiele, B. und Fritz, M. (2017). Learning dilation factors for semantic segmentation of street scenes. In , Pattern Recognition : 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings (S. 41-51). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
He, Y., Keuper, M., Schiele, B. und Fritz, M. (2017). Learning dilation factors for semantic segmentation of street scenes. Computing Research Repository (CoRR), 2017, 1-11.
Heist, N. und Paulheim, H. (2017). Language-agnostic relation extraction from Wikipedia abstracts. In , The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, proceedings, part I (S. 383-399). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Hertling, S. (2017). WikiV3 results for OAEI 2017. In , OM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 21, 2017 (S. 190-195). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hertling, S. und Paulheim, H. (2017). WebIsALOD: providing hypernymy relations extracted from the web as linked open data. In , The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, proceedings, part II (S. 111-119). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Hertling, S., Schröder, M., Jilek, C. und Dengel, A. (2017). Where is that button again?! – Towards a universal GUI search engine. In , Proceedings of the 9th International Conference on Agents and Artificial Intelligence : ICAART-17, February 24-26, Porto, Portugal (S. 217-227). , SCITEPRESS: Setúbal.
Hofmann, A., Perchani, S., Portisch, J., Hertling, S. und Paulheim, H. (2017). DBkWik: towards knowledge graph creation from thousands of wikis. In , ISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017 (S. Paper 540). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Huber, J., Gossmann, A. und Stuckenschmidt, H. (2017). Cluster-based hierarchical demand forecasting for perishable goods. Expert Systems with Applications, 76, 140-151.
Huber, J., Müller, S., Fleischmann, M. und Stuckenschmidt, H. (2017). A data-driven newsvendor problem: From data to decision. SSRN Working Paper Series. Rochester, NY.
Huber, J., Niepert, M., Noessner, J., Schönfisch, J., Meilicke, C. und Stuckenschmidt, H. (2017). An infrastructure for probabilistic reasoning with web ontologies. Semantic Web, 8, 255-269.
Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A. und Brox, T. (2017). FlowNet 2.0: Evolution of optical flow estimation with deep networks. In , 30th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2017 : 21–26 July 2016, Honolulu, Hawaii : proceedings (S. 1647-1655). , IEEE: Piscataway, NJ.
Keuper, M. (2017). Higher-order minimum cost lifted multicuts for motion segmentation. In , 2017 IEEE International Conference on Computer Vision : ICCV 2017 : proceedings : 22 – 29 October 2017, Venice, Italy (S. 4252 -4260). , IEEE: Piscataway, NJ.
Keuper, M. (2017). Higher-order minimum cost lifted multicuts for motion segmentation. Computing Research Repository (CoRR), 2017, 1-11.
Klein, P., Ponzetto, S. P. und Glavaš, G. (2017). Improving neural knowledge base completion with cross-lingual projections. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 516-522). , Association for Computational Linguistics: Stroudsburg, PA.
Krstanovic, S. und Paulheim, H. (2017). Ensembles of recurrent neural networks for robust time series forecasting. In , Artificial Intelligence XXXIV : 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, proceedings (S. 34-46). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Kuss, E., Leopold, H., Meilicke, C. und Stuckenschmidt, H. (2017). Ranking-based evaluation of process model matching. In , On the Move to Meaningful Internet Systems. OTM 2017 Conferences : Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I (S. 298-305). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Kuss, E. und Stuckenschmidt, H. (2017). Automatic classification to matching patterns for process model matching evaluation. In , ER-Forum-Demos 2017 : proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017) Valencia, Spain, November 6-9, 2017 (S. 292-305). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Lauscher, A., Glavaš, G. und Eckert, K. (2017). University of Mannheim @ CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity. In , Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) ... part of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) ... (S. 33-42). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Eckert, K. (2017). Investigating convolutional networks and domain-specific embeddings for semantic classification of citations. In , WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 24-28). ACM international conference proceedings series : AICPS, ACM: New York, NY.
Lauscher, A., Nanni, F. und Ponzetto, S. P. (2017). Entitäten als Topic Labels : Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling. In , DHd 2017 : Digitale Nachhaltigkeit : Konferenzabstracts : Universität Bern 13. bis 18. Februar 2017 : 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. (S. 242-244). , Verband Digital Humanities im deutschsprachigen Raum e.V.: Bern.
Lauscher, A., Nanni, F. und Ponzetto, S. P. (2017). SLaTE: a system for labeling topics with entities. In , Digital Humanities 2017 : conference abstracts : McGill University & Université de Montréal, Montréal, Canada, August 8 – 11, 2017 (S. 742-743). , McGill Université ; Université de Montréal: Montréal.
Lehmann, J., Auer, S., Capadisli, S., Janowicz, K., Bizer, C., Heath, T., Hogan, A. und Berners-Lee, T. (2017). LDOW2017: 10th Workshop on Linked Data on the Web. In , WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion (S. 1679-1680). , International World Wide Web Conferences Steering Committee: Geneva.
Lehmberg, O. und Bizer, C. (2017). Stitching web tables for improving matching quality. Proceedings of the VLDB Endowment, 10, 1502-1513.
Lehmberg, O., Brinkmann, A. und Bizer, C. (2017). WInte.r – a web data integration framework. In , ISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017 (S. Paper 506). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Meilicke, C., Leopold, H., Kuss, E., Stuckenschmidt, H. und Reijers, H. A. (2017). Overcoming individual process model matcher weaknesses using ensemble matching. Decision Support Systems : DSS, 100, 15-26.
Meilicke, C., Ruffinelli, D., Nolle, A., Paulheim, H. und Stuckenschmidt, H. (2017). Fast ABox consistency checking using incomplete reasoning and caching. In , Rules and Reasoning : International Joint Conference : RuleML+RR 2017, London, UK, July 12-15, 2017, Proceedings (S. 168-183). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Melo, A. und Paulheim, H. (2017). An approach to correction of erroneous links in knowledge graphs. In , K-CAPSAT-2017 : Proceedings of Workshops and Tutorials of the 9th International Conference on Knowledge Capture (K-CAP2017) Austin, Texas, December 4th, 2017 (S. 54-57). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Melo, A. und Paulheim, H. (2017). Detection of relation assertion errors in knowledge graphs. In , Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, TX, USA, December 4-6, 2017 (S. Article 22,1-8). , ACM: New York, NY, USA.
Melo, A. und Paulheim, H. (2017). Synthesizing knowledge graphs for link and type prediction benchmarking. In , The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I (S. 136-151). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Melo, A., Völker, J. und Paulheim, H. (2017). Type prediction in noisy RDF knowledge bases using hierarchical multilabel classification with graph and latent features. International Journal on Artificial Intelligence Tools : IJAIT, 26, Art. 1760011,1-32.
Menini, S., Nanni, F., Ponzetto, S. P. und Tonelli, S. (2017). Topic-based agreement and disagreement in US electoral manifestos. In , Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (S. 2938-2944). , Association for Computational Linguistics: Stroudsburg, PA.
Meusel, R. (2017). Web-scale profiling of semantic annotations in HTML pages. Dissertation, . Mannheim.
Meusel, R., Ritze, D. und Paulheim, H. (2017). Towards more accurate statistical profiling of deployed schema.org microdata. ACM Journal of Data and Information Quality : JDIQ, 8, Art. 3,1-31.
Nanni, F. (2017). Reconstructing a website’s lost past : methodological issues concerning the history of Unibo.it. Digital Humanities Quarterly : DHQ, 11, [1]-[37].
Nanni, F., Mitra, B., Magnusson, M. und Dietz, L. (2017). Benchmark for complex answer retrieval. In , ICTIR '17 : proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval : October 1–4 2017, Amsterdam, Netherlands (S. 293-296). , ACM: New York, NY.
Nanni, F. und Paci, G. (2017). A discipline-enriched dataset for tracking the computational turn of European universities. In , WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 29-33). , ACM: New York, NY.
Nanni, F., Ponzetto, S. P. und Dietz, L. (2017). Building entity-centric event collections. In , 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017, Toronto, ON, Canada, June 19-23, 2017 (S. 199-208). , IEEE Computer Soc.: Piscataway, NJ.
Nisioi, S., Štajner, S., Ponzetto, S. P. und Dinu, L. P. (2017). Exploring neural text simplification models. In , The 55th Annual Meeting of the Association for Computational Linguistics – proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 85-91). , Association for Computational Linguistics: Stroudsburg, PA.
Oulabi, Y. und Bizer, C. (2017). Estimating missing temporal meta-information using Knowledge-Based-Trust. In , KDWEB 2017 : proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB Cagliari, Italy, September 11 to 12, 2017 (S. Paper 4). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Panchenko, A., Faralli, S., Ponzetto, S. P. und Biemann, C. (2017). Using linked disambiguated distributional networks for word sense disambiguation. In , EACL 2017 Workshop on Sense, Concept and Entity Representations and their Applications : proceedings of the workshop, April 4, 2017 Valencia, Spain (S. 72-78). , Association for Computational Linguistics: Stroudsburg, PA.
Panchenko, A., Marten, F., Ruppert, E., Faralli, S., Ustalov, D., Ponzetto, S. P. und Biemann, C. (2017). Unsupervised, knowledge-free, and interpretable word sense disambiguation. In , The Conference on Empirical Methods in Natural Language Processing – proceedings of System Demonstrations : September 9-11, 2017, Copenhagen, Denmark : EMNLP 2017 (S. 91-96). , Association for Computational Linguistics: Stroudsburg, PA.
Panchenko, A., Ruppert, E., Faralli, S., Ponzetto, S. P. und Biemann, C. (2017). Unsupervised does not mean uninterpretable : the case for word sense induction and disambiguation. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference, volume 1: Long Papers (S. 86-98). , Association for Computational Linguistics: Stroudsburg, PA.
Panchenko, A., Ustalov, D., Arefyev, N., Paperno, D., Konstantinova, N., Loukachevitch, N. und Biemann, C. (2017). Human and machine judgements for Russian semantic relatedness. In , Analysis of Images, Social Networks and Texts : 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers (S. 221-235). Communications in Computer and Information Science, Springer: Cham.
Paulheim, H. (2017). A robust number parser based on conditional random fields. In , KI 2017: Advances in Artificial Intelligence : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, proceedings (S. 337-343). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Paulheim, H. (2017). Data-driven joint debugging of the DBpedia mappings and ontology. In , The Semantic Web : 14th International Conference, ESWC 2017, Portorož, Slovenia, May 28 – June 1, 2017, Proceedings, Part I (S. 404-418). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Paulheim, H. (2017). Knowledge graph refinement: A survey of approaches and evaluation methods. Semantic Web, 8, 489-508.
Paulheim, H. (2017). Towards profiling knowledge graphs. In , Profiles 2017 : Proceedings of the 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES 2017) co-located with The 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 22, 2017 (S. Paper 1). CEUR-WS, CEUR Workshop Proceedings: Aachen.
Petrovski, P. und Bizer, C. (2017). Extracting attribute-value pairs from product specifications on the web. In , WI '17 Proceedings of the International Conference on Web Intelligence : Leipzig, Germany, August 23-26, 2017 (S. 558-565). , ACM: New York, NY [u.a.].
Petrovski, P., Primpeli, A., Meusel, R. und Bizer, C. (2017). The WDC gold standards for product feature extraction and product matching. In , E-Commerce and Web Technologies : 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers (S. 73-86). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
Primpeli, A. und Bizer, C. (2017). Generalizing matching knowledge using active learning. In , VLDB-PhD 2017 : Proceedings of the VLDB 2017 PhD Workshop co-located with the 43rd International Conference on Very Large Databases (VLDB 2017) Munich, Germany, August 28, 2017 (S. 29-32). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Primpeli, A., Meusel, R., Bizer, C. und Stuckenschmidt, H. (2017). The Web Data Commons structured data extraction. In , E-Science-Tage 2017: Forschungsdaten managen (S. 1). , Heidelberg University: Heidelberg.
Ringler, D. und Paulheim, H. (2017). One knowledge graph to rule them all? Analyzing the differences between DBpedia, YAGO, Wikidata & co.. In , KI 2017: Advances in Artificial Intelligence : 40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, proceedings (S. 366-372). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Ristoski, P., Faralli, S., Ponzetto, S. P. und Paulheim, H. (2017). Large-scale taxonomy induction using entity and word embeddings. In , WI 2017 : proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017 (S. 81-87). , ACM: New York, NY.
Ritze, D. (2017). Web-scale web table to knowledge base matching. Dissertation, . Mannheim.
Ritze, D. und Bizer, C. (2017). Matching web tables to DBpedia – a feature utility study. In , Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017 (S. 210-221). , OpenProceedings: Konstanz.
Rovera, M., Nanni, F., Ponzetto, S. P. und Goy, A. (2017). Domain-specific named entity disambiguation in historical memoirs. In , CLiC-it 2017 : proceedings of the Fourth Italian Conference on Computational Linguistics, Rome, Italy, December 11-13, 2017 (S. Paper 20). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Ruffinelli, D. (2017). Towards scalable ontological reasoning using machine learning. In , RuleML+RR 2017 : Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017 hosted by International Joint Conference on Rules and Reasoning 2017 (RuleML+RR 2017) London, UK, July 11-15, 2017 (S. Paper 5). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Schröder, M., Jilek, C., Hees, J., Hertling, S. und Dengel, A. (2017). RDF spreadsheet editor : get (G)rid of your RDF data entry problems. In , ISWC-P&D-Industry 2017 : Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 23rd to 25th, 2017 (S. Paper 635). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Schönfisch, J. und Stuckenschmidt, H. (2017). Analyzing real-world SPARQL queries and ontology-based data access in the context of probabilistic data. International Journal of Approximate Reasoning, 90, 374-388.
Sztyler, T. (2017). Towards real world activity recognition from wearable devices. In , 2017 IEEE International Conference on Pervasive Computing and Communications Workshops : PERCOM Workshops (S. 97-98). , IEEE Computer Society: Piscataway, NJ.
Sztyler, T. und Stuckenschmidt, H. (2017). Online personalization of cross-subjects based activity recognition models on wearable devices. In , PerCom 2017 : The Fifteenth Annual IEEE International Conference on Pervasive Computing and Communications : March 13-17, 2017, Big Island, HI, USA (S. 180-189). , IEEE Computer Society: Piscataway, NJ.
Sztyler, T., Stuckenschmidt, H. und Petrich, W. (2017). Position-aware activity recognition with wearable devices. Pervasive and Mobile Computing, 38, 281-295.
Teflioudi, C. und Gemulla, R. (2017). Exact and approximate maximum inner product search with LEMP. ACM Transactions on Database Systems : TODS, 42, Article 5.
Ustalov, D., Arefyev, N., Biemann, C. und Panchenko, A. (2017). Negative sampling improves hypernymy extraction based on projection learning. In , 15th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of conference : April 3-7, 2017, Valencia, Spain : EACL 2017 ; Vol. 2 : Short papers (S. 543-550). , Association for Computational Linguistics: Stroudsburg, PA.
Ustalov, D. und Panchenko, A. (2017). A tool for effective extraction of synsets and semantic relations from BabelNet. In , 2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12–13 Apr 2017 (S. 10-13). , IEEE: Piscataway, NJ.
Ustalov, D., Panchenko, A. und Biemann, C. (2017). Watset : automatic induction of synsets from a graph of synonyms. In , The 55th Annual Meeting of the Association for Computational Linguistics : proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 ; Vol. 1 (Long papers) (S. 1579-1590). , Association for Computational Linguistics: Stroudsburg, PA.
Ustalov, D., Teslenko, D., Panchenko, A. und Chernoskutov, M. (2017). Mnogoznal : an unsupervised system for word sense disambiguation. In , 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (S. 147-150). , IEEE: Piscataway, NJ.
Wannenwetsch, A. S., Keuper, M. und Roth, S. (2017). ProbFlow: Joint optical flow and uncertainty estimation. In , 2017 IEEE International Conference on Computer Vision : ICCV 2017 : proceedings : 22 – 29 October 2017, Venice, Italy (S. 1182-1191). , IEEE: Piscataway, NJ.
Wannenwetsch, A. S., Keuper, M. und Roth, S. (2017). ProbFlow: Joint optical flow and uncertainty estimation. Computing Research Repository (CoRR), 2017, 1-18.
Weiland, L., Hulpus, I., Ponzetto, S. P. und Dietz, L. (2017). Using object detection, NLP, and knowledge bases to understand the message of images. In , MultiMedia Modeling : 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II (S. 405-418). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Wessler, H., Theil, C. K., Stuckenschmidt, H., Storrer, A. und Debus, M. (2017). 'Wikiganda' : detecting bias in multimodal Wikipedia entries. In New studies in multimodality : conceptual and methodological elaborations (S. 201-224). London: Bloomsbury Publishing PLC.
Zhang, Z., Gentile, A. L., Blomqvist, E., Augenstein, I. und Ciravegna, F. (2017). An unsupervised data-driven method to discover equivalent relations in large Linked Datasets. Semantic Web, 8, 197-223.
Štajner, S., Franco-Salvador, M., Ponzetto, S. P., Rosso, P. und Stuckenschmidt, H. (2017). Sentence alignment methods for improving text simplification systems. In , The 55th Annual Meeting of the Association for Computational Linguistics – proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 97-102). , Association for Computational Linguistics: Stroudsburg, PA.
Štajner, S. und Glavaš, G. (2017). Leveraging event-based semantics for automated text simplification. Expert Systems with Applications, 82, 383-395.
Štajner, S., Glavaš, G., Ponzetto, S. P. und Stuckenschmidt, H. (2017). Domain adaptation for automatic detection of speculative sentences. In , IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January – 1 February 2017, San Diego, California : proceedings (S. 164-171). , IEEE Computer Society: Los Alamitos, CA [u.a.].
Štajner, S., Ponzetto, S. P. und Stuckenschmidt, H. (2017). Automatic assessment of absolute sentence complexity. In , Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) : Melbourne, Australia 19–25 August 2017 (S. 4096-4102). , International Joint Conferences on Artificial Intelligence: Melbourne.

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