Publications

2023

Ludwig, K., Grote, A., Iana, A., Alam, M., Paulheim, H., Sack, H., Weinhardt, C. and Müller, P. (2023). Divided by the algorithm? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization. Social Science Computer Review : SSCORE, 1–23.
Schreckenberger, C., He, Y., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). Online random eature forests for learning in varying feature spaces. In , Proceedings of the 37th AAAI Conference on Artificial Intelligence (S. tba-tba). , AAAI Press: Washington, DC.
Spreitzenbarth, J., Bode, C. and Stuckenschmidt, H. (2023). Designing an AI-enabled bundling generator in an automotive case study. In , Proceedings of the 56th Annual Hawaii International Conference on System Sciences (S. 4495–4504). , University of Hawaii at Manoa: Honolulu, HI.

2022

Alturki, S. (2022). Predicting students' academic achievement using methods of educational data mining. Dissertation, . Mannheim.
Alturki, S., Cohausz, L. and Stuckenschmidt, H. (2022). Predicting master’s students’ academic performance: An empirical study in Germany. Smart Learning Environments, 9, 1–22.
Alturki, S., Hulpus, I. and Stuckenschmidt, H. (2022). Predicting academic outcomes: A survey from 2007 till 2018. Technology, Knowledge and Learning, 27, 275–307.
Betz, P., Christian, M. and 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. and 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. (2022). When probabilities are not enough – A framework for causal explanations of student success models. Journal of Educational Data Mining, 14, 52–75.
Cohausz, L., Wilken, N. and 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.
Iana, A., Alam, M. and Paulheim, H. (2022). A survey on knowledge-aware news recommender systems. Semantic Web, 1–59.
Kappenberger, J., Theil, K. and Stuckenschmidt, H. (2022). Evaluating the impact of AI-based priced parking with social simulation. In , Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, proceedings (S. 54–75). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Knorr, L. and 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.
Korini, K., Peeters, R. and Bizer, C. (2022). SOTAB: The WDC Schema.org table annotation benchmark. In , SemTab 2022 : Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, co-located with the 21st International semantic Web Conference (ISWC 2022), virtual conference, October 23–27, 2022 (S. 14–19). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Kossack, D., Borg, N., Knorr, L. and 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. and Glavaš, G. (2022). On cross-lingual retrieval with multilingual text encoders. Information Retrieval Journal, 25, 149–183.
Lüdtke, S., Bartelt, C. and 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. and Bartelt, C. (2022). Explanations for neural networks by neural networks. Applied Sciences, 12, 1–14.
Peeters, R. and Bizer, C. (2022). Cross-language learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 236–238). , ACM: New York, NY.
Peeters, R. and Bizer, C. (2022). Integrating product data using deep learning : Art.-Nr. 11. In , Proceedings of the 7th bwHPC Symposium (S. 59–62). , Universität Ulm: Ulm.
Peeters, R. and Bizer, C. (2022). Supervised contrastive learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 248–251). , ACM: New York, NY.
Portisch, J. (2022). Exploiting general-purpose background knowledge for automated schema matching. Dissertation, . Mannheim.
Portisch, J., Heist, N. and 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., Hladik, M. and Paulheim, H. (2022). Background knowledge in ontology matching : a survey. Semantic Web, 55, 1–55.
Portisch, J. and 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. and 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. and 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.].
Schreckenberger, C., Bartelt, C. and Stuckenschmidt, H. (2022). Dynamic forest for learning from data streams with varying feature spaces. In , Cooperative information systems : 28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4–7, 2022, Proceedings (S. 95–111). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schäfer, B., der Aa, H., Leopold, H. and Stuckenschmidt, H. (2022). Sketch2Process: End-to-end BPMN Sketch Recognition Based on Neural Networks. IEEE Transactions on Software Engineering, 1–21.
Sola, D., der Aa, H., Meilicke, C. and 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. and 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.].
Spreitzenbarth, J., Bode, C. and Stuckenschmidt, H. (2022). The state of artificial intelligence: Procurement versus sales and marketing. 6th World Conference on Production and Operations Management (P&OM) 2022 (2020), Osaka, Japan.
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. and 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. and 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. and 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. and Brahim Belhaouari, S. (2021). Learning human activity from visual data using deep learning. IEEE Access, 9, 106245–106253.
Alturki, S. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Paulheim, H. (2021). Wissensgraphen im Web : Überblick und Vergleich. In Semantische Datenintelligenz im Einsatz (S. 127–151). Wiesbaden: Springer Vieweg.
Heist, N. and 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. and 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. and Paulheim, H. (2021). Collecting a large scale dataset for classifying fake news tweets using weak supervision. Future Internet, 13, 114.
Hertling, S. and 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. and 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. and 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. and 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. and Stuckenschmidt, H. (2021). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, 231, 1–14.
Iana, A. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Stuckenschmidt, H. (2021). Arrow R-CNN for handwritten diagram recognition. International Journal on Document Analysis and Recognition : IJDAR, 24, 3–17.
Schäfer, B. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Frank, A. (2020). Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis. Datenbank-Spektrum, 20, 131–141.
Broscheit, S., Gashteovski, K., Wang, Y. and 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. and 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. and 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. and 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. and Stuckenschmidt, H. (2020). Data-driven smart charging for heterogeneous electric vehicle fleets. Energy and AI, 1, 1–13.
Frendo, O., Gärtner, N. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Paulheim, H. (2020). DBkWik: extracting and integrating knowledge from thousands of Wikis. Knowledge and Information Systems, 62, 2169–2190.
Hertling, S. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Liu, Z. (2020). Representation learning for the Semantic Web. Journal of Web Semantics, 61/62, Article 100570.
Peeters, R., Bizer, C. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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.].
Spreitzenbarth, J. and Stuckenschmidt, H. (2020). Solving the supplier selection problem with a data-driven total cost of ownership approach: Research proposal. IPSERA Doctoral Workshop 2020 (conference cancelled), Knoxville, TN, Cancelled.
Theil, C. K. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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, Ges. für Informatik: Bonn.
Bizer, C., Primpeli, A. and Peeters, R. (2019). Using the Semantic Web as a source of training data. Datenbank-Spektrum, 19, 127–135.
Burzlaff, F. and 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. and Stuckenschmidt, H. (2019). newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive and Mobile Computing, 56, 88–105.
Diete, A. and Stuckenschmidt, H. (2019). Fusing object information and inertial data for activity recognition. Sensors, 19, 4119, 1–22.
Diete, A., Sztyler, T. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Vulić, I. (2019). A general framework for implicit and explicit debiasing of distributional word vector spaces. Ithaca, NY: Cornell University.
Lauscher, A., Song, Y. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Paulheim, H. (2019). RDF2Vec: RDF graph embeddings and their applications. Semantic Web, 10, 721–752.
Schrage, F., Heist, N. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Skaf-Molli, H. (2018). Linked Open Data. In , Encyclopedia of Database Systems (S. 2096–2101). New York, NY: Springer.
Bizer, C., Vidal, M.-E. and Weiss, M. (2018). RDF Technology. In , Encyclopedia of Database Systems (S. 3106–3109). New York, NY: Springer.
Bizer, C., Vidal, M.-E. and Weiss, M. (2018). Resource Description Framework. In , Encyclopedia of Database Systems (S. 3221–3224). New York, NY: Springer.
Broscheit, S., Gemulla, R. and 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. and 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. and 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. and 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. and Layaida, N. (2018). SPARQL query containment under schema. Journal on Data Semantics : JoDS, 7, 133–154.
Chekol, M. W. and 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. and 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. and 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. and 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. and Stuckenschmidt, H. (2018). Exploring semi-supervised methods for labeling support in multimodal datasets. Sensors, 18, Article 2639.
Diete, A., Sztyler, T., Weiland, L. and 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. and 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. and Paulheim, H. (2018). Language-agnostic relation extraction from abstracts in Wikis. Information, 9, 75.
Helmstetter, S. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and 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. and Dietz, L. (2018). Knowledge-rich image gist understanding beyond literal meaning. Data & Knowledge Engineering, 117, 114 – 132.
Štajner, S. and 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.

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