Photo credit: Anna Logue

Publications

2020

Hertling, S. and Paulheim, H. (2020). The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias. In Harth, A., The Semantic Web: ESWC 2020 (S. 1-16). , Springer: Heidelberg.
Huber, J. and Stuckenschmidt, H. (2020). Daily retail demand forecasting using machine learning with emphasis on calendric special days. International Journal of Forecasting.
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.
Paulheim, H. (2020). Beyond DBpedia & YAGO - The new kids on the knowledge graph block. In Curry, E., 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.
Portisch, J., Hladik, M. and Paulheim, H. (2020). Wiktionary Matcher. In Shvaiko, P., 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.
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.

2019

Abercrombie, G., Nanni, F., Batista-Navarro, R. and Ponzetto, S. P. (2019). Policy preference detection in parliamentary debate motions. In Bansal, M., 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 Shvaiko, P., 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.
Alhersh, T., Brahim Belhaouari, S. and Stuckenschmidt, H. (2019). Action recognition using local visual descriptors and inertial data. In Chatzigiannakis, I., Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings (S. 123-138). Lecture Notes in Computer Science, Springer International Publishing: Cham.
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). , IEEE: Piscataway, NJ.
Alhersh, T. and Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In Tremeau, A., 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). , 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 May, J., 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.
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 Tung, B., 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.
Civitarese, G., Sztyler, T., Riboni, D., Bettini, C. and Stuckenschmidt, H. (2019). POLARIS: Probabilistic and ontological activity recognition in smart-homes. IEEE Transactions on Knowledge and Data Engineering : TKDE.
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.
Fürnkranz, J., Kliegr, T. and Paulheim, H. (2019). On cognitive preferences and the plausibility of rule-based models. Machine Learning.
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 Ghidini, C., 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). DBkWik: extracting and integrating knowledge from thousands of Wikis. Knowledge and Information Systems, 1-22.
Hertling, S. and Paulheim, H. (2019). DOME Results for OAEI 2019. In Shvaiko, P., 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.
Hertling, S., Portisch, J. and Paulheim, H. (2019). MELT - Matching EvaLuation Toolkit. In Acosta, M., 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: Cham.
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., Štajner, S. and Stuckenschmidt, H. (2019). A spreading activation framework for tracking conceptual complexity of texts. In Korhonen, A., 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 Acosta, M., 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: Cham.
Kardoost, A. and Keuper, M. (2019). Solving minimum cost lifted multicut problems by node agglomeration. In Jawahar, C., 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: Cham.
Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H. and Frank, A. (2019). Exploiting background knowledge for argumentative relation classification. In Eskevich, M., 2nd Conference on Language, Data and Knowledge (LDK 2019) (S. 8:1-8:14). OASIcs - OpenAccess Series in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik: Wadern.
Krstanovic, S. and Paulheim, H. (2019). Fourier-based parametrization of convolutional neural networks for robust time series forecasting. In Kralj Novak, P., Discovery Science 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings (S. 522-532). Lecture Notes in Computer Science, Springer Nature: Cham.
Krstanovic, S. and Paulheim, H. (2019). Stacked LSTM snapshot ensembles for time series forecasting. In Rojas, I., Theory and applications of time series analysis : selected contributions from ITISE 2018 (S. 87-98). , 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 Mihalcea, R., 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 Vulic, 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 Bonn, M., 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., Vulic, 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 Boncz, P., Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, 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 Akerkar, R., 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 Benzmüller, C., 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 International Publishing: Cham.
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 Bonn, M., 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 Bonn, M., 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 Herschel, M., 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 Acosta, M., 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 International Publishing: Cham.
Petrovski, P. and Bizer, C. (2019). Learning expressive linkage rules from sparse data. Semantic Web, 1-19.
Portisch, J., Hladik, M. and Paulheim, H. (2019). Evaluating ontology matchers on real-world financial services data models. SEMANTiCS 2019, Karlsruhe, Germany.
Primpeli, A. and Bizer, C. (2019). Robust active learning of expressive linkage rules. In Akerkar, R., 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 Liu, L., 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 Acosta, M., 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: Cham.
Schreckenberger, C., Bartelt, C. and Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In Ukkusuri, S., PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). , 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 Panetto, H., 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 International Publishing: Cham.
Schreckenberger, C., Beckmann, S. and Bartelt, C. (2019). Next place prediction: A systematic literature review. In Sudo, A., 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). , ACM: New York, NY.
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 Kraus, S., 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 Augenstein, I., 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: RWTH.
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 Shvaiko, P., 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.
Bizer, C., Vidal, M.-E. and Skaf-Molli, H. (2018). Linked Open Data. In Liu, L., Encyclopedia of Database Systems (S. 2096-2101). New York, NY: Springer.
Bizer, C., Vidal, M.-E. and Weiss, M. (2018). RDF Technology. In Liu, L., Encyclopedia of Database Systems (S. 3106-3109). New York, NY: Springer.
Bizer, C., Vidal, M.-E. and Weiss, M. (2018). Resource Description Framework. In Liu, L., 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 Augenstein, I., 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 O’Conner, L., 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 Wang, L., 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 Gemulla, R., LWDA 2018 : Proceedings of the Conference „Lernen, Wissen, Daten, Analysen“ Mannheim, Germany, August 22-24, 2018 (S. 78-83). CEUR Workshop Proceedings, RWTH: Aachen.
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 Cuzzocrea, A., 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 Champin, P., 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 Haddad, H., 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 Hollink, L., 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.
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 Day, M., 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 Wu, X., 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 Shvaiko, P., 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.
Hertling, S. and Paulheim, H. (2018). Provision and usage of provenance data in the WebIsALOD Knowledge Graph. In Capadisli, S., 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.
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 Ferrari, V., 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: Cham.
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 Shvaiko, P., 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.
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 Apidianaki, M., 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 Gemulla, R., LWDA 2018 : Proceedings of the Conference „Lernen, Wissen, Daten, Analysen“ Mannheim, Germany, August 22-24, 2018 (S. 191-194). CEUR Workshop Proceedings, RWTH: Aachen.
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 Chen, J., 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 Slonim, N., 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 Slonim, N., 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 Riloff, E., 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 Champin, P., 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 Vrandečić, D., 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: Cham.
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 Brügger, N. 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 Fišer, D., 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 Fišer, D., 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 Chen, J., 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 Calzolari, N., 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 Erp, M., 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 d'Amato, C., 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: Cham.
Paulheim, H. (2018). Make embeddings semantic again!. In Erp, M., 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.
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 Demner-Fushman, D., 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 Shvaiko, P., 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.
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, Universität Mannheim. 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 Hahn, U., 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 Gelbukh, A., 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 International Publishing: Cham.
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 Aalst, W., 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 International Publishing: Cham.
Ustalov, D., Panchenko, A., Biemann, C. and Ponzetto, S. P. (2018). Unsupervised sense-aware hypernymy extraction. In Barbaresi, A., 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 Cohen, S., 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 Calzolari, N., 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 Gurevych, I., 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. and 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: RWTH.
van Erp, M., Hellmann, S., McCrae, J. P., Chiarcos, C., Choi, K.-S., Gracia, J., Hayashi, Y., Koide, S., Mendes, P., Paulheim, H. and 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. Cham: Springer.
Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F. and 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. Cham: Springer International Publishing.
Sozykin, A. and 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: RWTH.
Acar, E., Fink, M., Meilicke, C., Thorne, C. and 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. and Manna, M. (2017). Group reasoning in social environments. In Das, S., 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. and Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017. In Shvaiko, P., 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.
Burzlaff, F. (2017). Knowledge-driven architecture composition. In Eibl, M., 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. and Bartelt, C. (2017). Knowledge-driven architecture composition: Case-based formalization of integration knowledge to enable automated component coupling. In O’Conner, L., 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 Lim, E., 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. and 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. and Stuckenschmidt, H. (2017). TeCoRe: temporal conflict resolution in knowledge graphs. In Boncz, P., 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. and Stuckenschmidt, H. (2017). Rule based temporal inference. In Rocha, R., 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, Dagstuhl Publishing: Wadern.
Chernoskutov, M. and Ustalov, D. (2017). Synonymy graph connectivity in graph-based word sense induction. In Goncharov, S., 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. and Paulheim, H. (2017). Biased graph walks for RDF graph embeddings. In Akerkar, R., WIMS '17 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics : Amantea, Italy, June 19 - 22, 2017 (S. Article 21). , ACM: New York, NY.
Cochez, M., Ristoski, P., Ponzetto, S. P. and Paulheim, H. (2017). Global RDF vector space embeddings. In d'Amato, C., 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: Cham.
Diete, A., Sztyler, T. and Stuckenschmidt, H. (2017). A smart data annotation tool for multi-sensor activity recognition. In Yordanova, K., 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. and Stuckenschmidt, H. (2017). Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In Shakshuki, E., 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. and Ponzetto, S. P. (2017). The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links. In Liakata, M., 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. and del Corro, L. (2017). MinIE: minimizing facts in open information extraction. In Specia, L., 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. and Paulheim, H. (2017). Entity matching on web tables: a table embeddings approach for blocking. In Markl, V., 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. and Ponzetto, S. P. (2017). Cross-lingual classification of topics in political texts. In Hovy, D., 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. and Ponzetto, S. P. (2017). Unsupervised cross-lingual scaling of political texts. In Liakata, M., 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. and Ponzetto, S. P. (2017). Dual tensor model for detecting asymmetric lexico-semantic relations. In Palma, M., 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. and Fritz, M. (2017). STD2P: RGBD semantic segmentation using spatio-temporal data-driven pooling. In Chellappa, R., 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. and Fritz, M. (2017). Learning dilation factors for semantic segmentation of street scenes. In Roth, V., Pattern Recognition : 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings (S. 41-51). Lecture Notes in Computer Science, Springer: Cham.
He, Y., Keuper, M., Schiele, B. and Fritz, M. (2017). Learning dilation factors for semantic segmentation of street scenes. Computing Research Repository (CoRR), 2017, 1-11.
Heist, N. and Paulheim, H. (2017). Language-agnostic relation extraction from Wikipedia abstracts. In d'Amato, C., 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 International Publishing: Cham.
Hertling, S. (2017). WikiV3 results for OAEI 2017. In Shvaiko, P., 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.
Hertling, S. and Paulheim, H. (2017). WebIsALOD: providing hypernymy relations extracted from the web as linked open data. In d'Amato, C., 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: Cham.
Hertling, S., Schröder, M., Jilek, C. and Dengel, A. (2017). Where is that button again?! – Towards a universal GUI search engine. In Herik, J., 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. and Paulheim, H. (2017). DBkWik: towards knowledge graph creation from thousands of wikis. In Nikitina, N., 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.
Huber, J., Gossmann, A. and Stuckenschmidt, H. (2017). Cluster-based hierarchical demand forecasting for perishable goods. Expert Systems with Applications, 76, 140-151.
Huber, J., Müller, S., Fleischmann, M. and 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. and 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. and Brox, T. (2017). FlowNet 2.0: Evolution of optical flow estimation with deep networks. In Chellappa, R., 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 Ikeuchi, K., 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. and Glavaš, G. (2017). Improving neural knowledge base completion with cross-lingual projections. In Liakata, M., 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. and Paulheim, H. (2017). Ensembles of recurrent neural networks for robust time series forecasting. In Bramer, M., 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: Cham.
Kuss, E., Leopold, H., Meilicke, C. and Stuckenschmidt, H. (2017). Ranking-based evaluation of process model matching. In Panetto, H., 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: Cham.
Kuss, E. and Stuckenschmidt, H. (2017). Automatic classification to matching patterns for process model matching evaluation. In Cabanillas, C., 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. 306-319). CEUR Workshop Proceedings, RWTH: Aachen.
Lauscher, A., Glavaš, G. and Eckert, K. (2017). University of Mannheim (at) CLSciSumm-17: Citation-Based Summarization of Scientific Articles Using Semantic Textual Similarity. In Jaidka, K., 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.
Lauscher, A., Glavaš, G., Ponzetto, S. P. and Eckert, K. (2017). Investigating convolutional networks and domain-specific embeddings for semantic classification of citations. In Knoth, P., WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017 (S. 24-28). , ACM: New York, NY.
Lauscher, A., Nanni, F. and Ponzetto, S. P. (2017). Entitäten als Topic Labels : Verbesserung der Interpretierbarkeit und Evaluierbarkeit von Themen durch Kombinieren von Entity Linking und Topic Modeling. In Stolz, M., 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. and Ponzetto, S. P. (2017). SLaTE: a system for labeling topics with entities. In Lewis, R., 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. and Berners-Lee, T. (2017). LDOW2017: 10th Workshop on Linked Data on the Web. In Barrett, R., 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. and Bizer, C. (2017). Stitching web tables for improving matching quality. Proceedings of the VLDB Endowment, 10, 1502-1513.
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Meusel, R., Ritze, D. and 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.
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Teflioudi, C. and Gemulla, R. (2017). Exact and approximate maximum inner product search with LEMP. ACM Transactions on Database Systems : TODS, 42, Article 5.
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2016

Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Todorov, K., Trojahn, C. and Zamazal, O. (2016). Results of the Ontology Alignment Evaluation Initiative 2016. In Shvaiko, P., OM 2016 : proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 18, 2016 (S. 73-129). CEUR Workshop Proceedings, RWTH: Aachen.
Auer, S., Heath, T., Bizer, C. and Berners-Lee, T. (2016). LDOW2016: 9th Workshop on Linked Data on the Web. In Bourdeau, J., Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume (S. 1039-1040). , ACM: Geneva, Switzerland.
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Beedkar, K. (2016). Methods for frequent sequence mining with subsequence constraints. Dissertation, . Mannheim.
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Bryl, V., Bizer, C. and Paulheim, H. (2016). Gathering alternative surface forms for DBpedia entities. In Paulheim, H., NLP & DBpedia 2015 : Proceedings of the Third NLP&DBpedia Workshop (NLP & DBpedia 2015) co-located with the 14th International Semantic Web Conference 2015 (ISWC 2015) Bethlehem, Pennsylvania, USA, October 11, 2015 (S. 13-24). CEUR Workshop Proceedings, RWTH: Aachen.
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Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2016). Exploring a multi-sensor picking process in the future warehouse. In Lukowicz, P., UbiComp/ISWC'16 Adjunct : Adjunct proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers (S. 1755-1758). , ACM: New York, NY.
Dutta, A. (2016). Automated Knowledge Base Extension Using Open Information. Dissertation, . Mannheim.
van Erp, M., Mendes, P. N., Paulheim, H., Ilievski, F., Plu, J., Rizzo, G. and Waitelonis, J. (2016). Evaluating entity linking: an analysis of current benchmark datasets and a roadmap for doing a better job. In Calzolari, N., Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 4373-4379). , European Language Resources Association, ELRA-ELDA: Paris.
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Gentile, A. L., Kirstein, S., Paulheim, H. and Bizer, C. (2016). Extending RapidMiner with data search and integration capabilities. In Sack, H., The Semantic Web : ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 – June 2, 2016, Revised Selected Papers (S. 161-171). Lecture Notes in Computer Science, Springer: Cham.
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Huelss, J. and Paulheim, H. (2016). What SPARQL query logs tell and do not tell about semantic relatedness in LOD : or: the unsuccessful attempt to improve the browsing experience of DBpedia by exploiting query logs. In Gandon, F., The Semantic Web: ESWC 2015 Satellite Events : ESWC 2015 Satellite Events Portorož, Slovenia, May 31 – June 4, 2015, Revised Selected Papers (S. 297-308). Lecture Notes in Computer Science, Springer: Cham.
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Lehmberg, O. and Bizer, C. (2016). Web table column categorisation and profiling. In , WebDB '16 : Proceedings of the 19th International Workshop on Web and Databases, San Francisco, CA, USA, June 26, 2016 : co-located with ACM SIGMOD 2016 (S. Article 4, 1-7). , ACM: New York, NY.
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Melo, A., Paulheim, H. and Völker, J. (2016). Type prediction in RDF knowledge bases using hierarchical multilabel classification. In Akerkar, R., Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016, Nîmes, France, June 13-15, 2016 (S. Article 14, 1-10). , ACM: New York, NY.
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Nanni, F., Kümper, H. and Ponzetto, S. P. (2016). Semi-supervised textual analysis and historical research helping each other: some thoughts and observations. International Journal of Humanities and Arts Computing, 10, 63-77.
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Neumann, S., Gemulla, R. and Miettinen, P. (2016). What you will gain by rounding : theory and algorithms for rounding rank. In Bonchi, F., 16th IEEE International Conference on Data Mining : 12-15 December 2016, Barcelona, Catalonia, Spain : proceedings (S. 380-389). , IEEE: Piscataway, NJ.
Nolle, A., Meilicke, C., Chekol, M. W., Nemirovski, G. and Stuckenschmidt, H. (2016). Schema-based debugging of federated data sources. In Kaminka, G., ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 381-389). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
Nuzzolese, A. G., Gentile, A. L., Presutti, V. and Gangemi, A. (2016). Conference Linked Data: the ScholarlyData project. In Groth, P., The Semantic Web – ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part II (S. 150-158). Lecture Notes in Computer Science, Springer: Cham.
Nuzzolese, A. G., Gentile, A. L., Presutti, V. and Gangemi, A. (2016). Semantic Web Conference ontology - a refactoring solution. In Sack, H., The Semantic Web : ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 – June 2, 2016, Revised Selected Papers (S. 84-87). Lecture Notes in Computer Science, Springer: Cham.
Oulabi, Y., Meusel, R. and Bizer, C. (2016). Fusing time-dependent web table data. In , WebDB '16 : Proceedings of the 19th International Workshop on Web and Databases, San Francisco, CA, USA, June 26, 2016 : co-located with ACM SIGMOD 2016 (S. Article 3, 1-7). , ACM: New York, NY.
Panchenko, A., Faralli, S., Ruppert, E., Remus, S., Naets, H., Fairon, C., Ponzetto, S. P. and Biemann, C. (2016). TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling. In Bethard, S., The 10th International Workshop on Semantic Evaluation : Proceedings of the Workshop : Sem-Eval-2016 : June 16-17, 2016, San Diego, California, USA (S. 1196-1203). , Association for Computational Linguistics: Stroudsburg, Pa..
Paulheim, H. (2016). 14th International Semantic Web Conference 2015 Bethlehem, PA, USA; October 11–15. Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen ; Organ des Fachbereichs 1 Künstliche Intelligenz der Gesellschaft für Informatik e.V., GI / Fachbereich 1 der Gesellschaft für Informatik e.V, 30, 207-208.
Paulheim, H. and Stuckenschmidt, H. (2016). Fast approximate A-box consistency checking using machine learning. In Sack, H., The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Proceedings (S. 135-150). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Paulheim, H. and Unger, C. (2016). Can predicate lexicalizations help in named entity disambiguation? In Paulheim, H., NLP & DBpedia 2015 : Proceedings of the Third NLP&DBpedia Workshop (NLP & DBpedia 2015) co-located with the 14th International Semantic Web Conference 2015 (ISWC 2015) Bethlehem, Pennsylvania, USA, October 11, 2015 (S. 92-97). CEUR Workshop Proceedings, RWTH: Aachen.
Petrovski, P. and Gentile, A. L. (2016). Can you judge a music album by its cover? In Paulheim, H., Know(at)LOD&CoDeS 2016 : Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and the 1st International Workshop on Completing and Debugging the Semantic Web (Know(at)LOD-2016, CoDeS-2016) ... with 13th ESWC 2016 (S. 1-4). CEUR Workshop Proceedings, RWTH: Aachen.
Pinkel, C. (2016). i3MAGE: Incremental, Interactive, Inter-Model Mapping Generation. Dissertation, . Mannheim.
Popović, M. and Štajner, S. (2016). Machine translation evaluation metrics for quality assessment of automatically simplified sentences. In Štajner, S., qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 32-37). , ELRA-ERDA: Paris.
Potyka, N., Acar, E., Thimm, M. and Stuckenschmidt, H. (2016). Group decision making via probabilistic belief merging. In Kambhampati, S., Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 (S. 3623-3629). , IJCAI/AAAI Press: New York, NY.
Riboni, D., Sztyler, T., Civitarese, G. and Stuckenschmidt, H. (2016). Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. In Lukowicz, P., UbiComp '16 : proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing : Sep. 12-16, co-located with the International Symposium on Wearable Computers (ISWC) 2016 (S. 1-12). , ACM: New York, NY.
Ristoski, P. and Mika, P. (2016). Enriching product ads with Metadata from HTML annotations. In Sack, H., The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Proceedings (S. 151-167). Lecture Notes in Computer Science, Springer: Cham.
Ristoski, P. and Paulheim, H. (2016). Analyzing statistics with background knowledge from Linked Open Data. In Capadisli, S., SemStats 2013 : Proceedings of the 1st International Workshop on Semantic Statistics co-located with 13th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 11th, 2013 (S. Article 12). CEUR Workshop Proceedings, RWTH: Aachen.
Ristoski, P. and Paulheim, H. (2016). RDF2Vec: RDF graph embeddings for data mining. In Groth, P., The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part I (S. 498-514). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Ristoski, P. and Paulheim, H. (2016). Semantic Web in data mining and knowledge discovery: a comprehensive survey. Web Semantics, 36, 1-22.
Ristoski, P., Paulheim, H., Svatek, V. and Zeman, V. (2016). The Linked Data Mining Challenge 2016. In Paulheim, H., Know(at)LOD&CoDeS 2016 : Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and 1st International Workshop on Completing and Debugging the Semantic Web ...with 13th ESWC 2016, Heraklion, Greece, May 30th 2016 (S. 1-8). CEUR Workshop Proceedings, RWTH: Aachen.
Ristoski, P., de Vries, G. and Paulheim, H. (2016). A collection of benchmark datasets for systematic evaluations of machine learning on the Semantic Web. In Groth, P., The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II (S. 186-194). Lecture Notes in Computer Science, Springer: Cham.
Ritze, D., Lehmberg, O., Oulabi, Y. and Bizer, C. (2016). Profiling the potential of web tables for augmenting cross-domain knowledge bases. In Bourdeau, J., Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 (S. 251-261). , ACM: Geneva, Switzerland.
Rodrigues, J., Gomes, L., Neale, S., Querido, A., Rendeiro, N., Štajner, S., Silva, J. and Branco, A. (2016). Domain-specifichHybridmMachine translation from English to Portuguese. In Silva, J., Computational Processing of the Portuguese Language : 12th International Conference, PROPOR 2016, Tomar, Portugal, July 13-15, 2016, Proceedings (S. 50-61). Lecture Notes in Computer Science, Springer: Cham.
Rodrigues, J., Rendeiro, N., Querido, A., Štajner, S. and Branco, A. (2016). Bootstrapping a Hybrid MT System to a new language pair. In Calzolari, N., Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 2762-2765). , ELRA: Paris.
Rosati, J., Ristoski, P., Di Noia, T., de Leone, R. and Paulheim, H. (2016). RDF graph embeddings for content-based recommender systems. In Bogers, T., CBRecSys 2016 : Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016) Boston, MA, USA, September 16, 2016 (S. 23-30). CEUR Workshop Proceedings, RWTH: Aachen.
Schuhmacher, M. (2016). Knowledge Graph Exploration for Natural Language Understanding in Web Information Retrieval. Dissertation, . Mannheim.
Schuhmacher, M., Roth, B., Ponzetto, S. P. and Dietz, L. (2016). Finding relevant relations in relevant documents. In Ferro, N., Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings (S. 654-660). Lecture Notes in Computer Science, Springer: Cham.
Schönfisch, J. and Stuckenschmidt, H. (2016). Analyzing real-world SPARQL queries in the light of probabilistic data. In Bobillo, F., URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (S. 13-23). CEUR Workshop Proceedings, RWTH: Aachen.
Schönfisch, J., von Stülpnagel, J., Ortmann, J., Meilicke, C. and Stuckenschmidt, H. (2016). Root cause analysis through abduction in Markov logic networks. In Matthes, F., 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC), EDOC 2016 : proceedings, 5–9 September 2016, Vienna, Austria (S. 1-13). , IEEE Computer Society Conference Publishing Services ; Curran: Washington, DC ; Red Hook, NY.
Seitner, J., Bizer, C., Eckert, K., Faralli, S., Meusel, R., Paulheim, H. and Ponzetto, S. P. (2016). A large DataBase of hypernymy relations extracted from the Web. In Calzolari, N., Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 360-367). , European Language Resources Association, ELRA-ELDA: Paris.
Stuckenschmidt, H., Ponzetto, S. P. and Meilicke, C. (2016). Detecting meaningful compounds in complex class labels. In Blomqvist, E., Knowledge Engineering and Knowledge Management : 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, proceedings (S. 621-635). Lecture Notes in Computer Science, Springer: Cham.
Sztyler, T., Carmona, J., Völker, J. and Stuckenschmidt, H. (2016). Self-tracking reloaded : applying process mining to personalized health care from labeled sensor data. In Koutny, M. Transactions on Petri nets and other models of concurrency XI (S. 160-180). Berlin ; Heidelberg ; New York, NY: Springer.
Sztyler, T. and Stuckenschmidt, H. (2016). On-body localization of wearable devices : an investigation of position-aware activity recognition. In Kumar, M., 2016 IEEE International Conference on Pervasive Computing and Communications : PerCom 2016, Sydney, Australia, March 14-19, 2016 (S. 1-9). , IEEE Computer Society: Piscataway, NJ.
Thorne, C., Faralli, S. and Stuckenschmidt, H. (2016). Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation. In , SEMANTiCS 2016 : 12th International Conference on Semantic Systems : Leipzig, Germany September 12 - 15, 2016 : proceedings (S. 169-172). , ACM: New York, NY.
Weiland, L., Hulpus, I., Ponzetto, S. P. and Dietz, L. (2016). Understanding the message of images with knowledge base traversals. In Carterette, B., Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 13-16, 2016 (S. 199-208). , ACM: New York, NY.
Zirn, C. (2016). Fine-grained Position Analysis for Political Texts. Dissertation, Universität Mannheim. Mannheim.
Zirn, C., Glavaš, G., Nanni, F., Eichorts, J. and Stuckenschmidt, H. (2016). Classifying topics and detecting topic shifts in political manifestos. In Širinić, D., PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 88-93). , University of Zagreb: Zagreb.
Štajner, S., Baerg, N., Ponzetto, S. P. and Stuckenschmidt, H. (2016). Automatic detection of speculation in policy statements. In , NLP+CSS workshop at Web Science 2016 : May 22, 2016, Hannover, Germany : accepted papers (S. 1-5). , ACM: New York, NY.
Štajner, S. and Popović, M. (2016). Can text simplification help machine translation?Baltic Journal of Modern Computing : BJMC, 4, 230-242.
Štajner, S., Popović, M. and Béchara, H. (2016). Quality estimation for text simplification. In Štajner, S., qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 15-21). , ELRA-ERDA: Paris.
Štajner, S., Popović, M., Saggion, H., Specia, L. and Fishel, M. (2016). Shared task on quality assessment for text simplification. In Štajner, S., qats2016 : LREC 2016 Workshop & Shared Task on Quality Assessment for Text Simplification (QATS), 28th May 2016, Portorož, Slovenia ; proceedings (S. 22-31). , ELRA-ERDA: Paris.
Štajner, S., Querido, A., Rendeiro, N., Rodrigues, J. and Branco, A. (2016). Use of domain-specific language resources in machine translation. In Calzolari, N., Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) : May 23-28, 2016, Portorož, Slovenia (S. 592-598). , ELRA: Paris.

2015

Stuckenschmidt, H. and Jannach, D. (eds.) (2015). E-Commerce and Web Technologies : 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, Revised Selected Papers. Cham: Springer International Publishing.
Bizer, C., Heath, T., Auer, S. and Berners-Lee, T. (eds.) (2015). LDOW 2015 : Proceedings of the Workshop on Linked Data on the Web ; co-located with the 24rd International World Wide Web Conference (WWW 2015) ; Florence, Italy, May 19, 2015. Aachen: RWTH.
Acar, E., Fink, M., Meilicke, C. and Stuckenschmidt, H. (2015). uDecide: A protégé plugin for multiattribute decision making. In Gómez-Pérez, J., K-CAP 2015 : Proceedings of the 8th International Conference on Knowledge Capture, Palisades, NY, USA, October 7-10, 2015 (S. Article 23). , ACM: New York, NY.
Acar, E., Thorne, C. and Stuckenschmidt, H. (2015). Towards decision making via expressive probabilistic ontologies. In Walsh, T., Algorithmic Decision Theory : 4th International Conference, ADT 2015, Lexington, KY, USA, September 27-30, 2015, Proceedings (S. 52-68). Lecture Notes in Computer Science, Springer: Cham.
Antunes, G., Bakhshandeh, M., Borbinha, J., Cardoso, J., Dadashnia, S., Di Francescomarino, C., Dragoni, M., Fettke, P., Gal, A., Ghidini, C., Hake, P., Khiat, A., Klinkmüller, C., Kuss, E., Leopold, H., Loos, P., Meilicke, C., Niesen, T., Pesquita, C., Péus, T., Schoknecht, A., Sheetrit, E., Sonntag, A., Stuckenschmidt, H., Thaler, T., Weber, I. and Weidlich, M. (2015). The Process Model Matching Contest 2015. In Kolb, J., Enterprise modelling and information systems architectures : proceedings of the 6th International Workshop on Enterprise Modelling and Information Systems Architectures, September 3-4, 2015 Innsbruck, Austria (S. 127-155). GI-Edition : Lecture Notes in Informatics. Proceedings, Geellschaft für Informatik: Bonn.
Beedkar, K., Berberich, K., Gemulla, R. and Miliaraki, I. (2015). Closing the gap: Sequence mining at scale. ACM Transactions on Database Systems : TODS, 40, Art. 8, 1-44.
Beedkar, K. and Gemulla, R. (2015). LASH: Large-scale sequence mining with hierarchies. In , Compilation proceedings of the 2015 ACM Symposium on Principles of Database Systems, ACM SIGMOD International Conference on Management of Data, and SIGMOD/PODS 2015 PhD symposium, May 31 - June 4, 2015, Melbourne, VIC, Australia (S. 491-503). , ACM: New York, NY.
Bosch, T., Acar, E., Nolle, A. and Eckert, K. (2015). The role of reasoning for RDF validation. In Hellmann, S., Semantics 2015 : Proceedings of the 11th International Conference on Semantic Systems, Vienna, Austria, September 15-17, 2015 (S. 33-40). , ACM: New York, NY.
Bosch, T., Nolle, A., Acar, E. and Eckert, K. (2015). RDF validation requirements - evaluation and logical underpinning. Mannheim.
Chekol, M. W., Huber, J., Meilicke, C. and Stuckenschmidt, H. (2015). Probabilistic EL++ with nominals and concrete domains. In Finger, M., Working Papers of the IJCAI-2015 Workshop on Weighted Logics for Artificial Intelligence WL4AI-2015, July 27, 2015, Buenos Aires (Argentina) (S. 80-87). , University of Sao Paulo: Sao Paulo.
Chekol, M. W., Huber, J. and Stuckenschmidt, H. (2015). Towards log-linear logics with concrete domains. Mannheim.
del Corro, L., Abujabal, A., Gemulla, R. and Weikum, G. (2015). FINET: context-aware fine-grained named entity typing. In Màrquez, L., Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015 (S. 868-878). , Assoc. for Computational Linguistics: Stroudsburg, Pa..
De Nies, T., Meusel, R., Ritze, D., Eckert, K., Dimou, A., De Vocht, L., Verborgh, R., Mannens, E. and Van de Walle, R. (2015). A Lightweight Provenance Pingback and Query Service for Web Publications. In Ludäscher, B., Provenance and Annotation of Data and Processes : 5th International Provenance and Annotation Workshop, IPAW 2014, Cologne, Germany, June 9-13, 2014. Revised Selected Papers (S. 203-208). Lecture Notes in Computer Science, Springer: Cham.
Debus, M., Stuckenschmidt, H. and Wessler, H. (2015). On the use of different modalities in political communication: evidence from German election manifestos. In Wildfeuer, J., Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 211-225). Sprache - Medien - Innovationen, Lang: Frankfurt a. M..
Dutta, A., Meilicke, C. and Stuckenschmidt, H. (2015). Enriching structured knowledge with open information. In Gangemi, A., Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015 (S. 267-277). , ACM: New York, NY.
Fleischhacker, D. (2015). Detecting errors in linked data using ontology learning and outlier detection. Dissertation, . Mannheim.
García, R., Paulheim, H. and Di Maio, P. (2015). Special Issue on Semantic Web Interfaces [Editorial]. Semantic Web, 6, 213-214.
Gentile, A. L., Zhang, Z. and Ciravegna, F. (2015). Early steps towards web scale information extraction with LODIE. AI Magazine, 36, 55-64.
Knip, F., Bikar, C., Pfister, B., Opitz, B., Sztyler, T., Jess, M. and Scherp, A. (2015). Investigating the usability of a mobile app for finding and exploring places and events. In Serral, E., Ambient media usability, interaction, and smart media technologies : 7th International Workshop on Semantic Ambient Media Experiences (SAME 2014) ; Helsinki, Finland, 26 October 2014 (S. 6-10). International Series on Information Systems and Management in Creative Emedia, Curran: Red Hook, NY.
Kolthoff, K. and Dutta, A. (2015). Semantic relation composition in large scale knowledge bases. In Gentile, A., Linked Data for Information Extraction : Proceedings of the Third International Workshop on Linked Data for Information Extraction (LD4IE2015) co-loc. with the 14th International Semantic Web Conference (ISWC 2015) ; Bethlehem, PA, USA, Oct. 12, 2015 (S. 34-47). CEUR Workshop Proceedings, RWTH: Aachen.
Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P. N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S. and Bizer, C. (2015). DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Semantic Web, 6, 167-195.
Lehmberg, O., Ritze, D., Ristoski, P., Meusel, R., Paulheim, H. and Bizer, C. (2015). The Mannheim Search Join Engine. Web Semantics, 35, 159-166.
Leopold, H., Meilicke, C., Fellmann, M., Pittke, F., Stuckenschmidt, H. and Mendling, J. (2015). Towards the automated annotation of process models. In Zdravkovic, J., Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8-12, 2015, Proceedings (S. 401-416). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Meilicke, C. and Stuckenschmidt, H. (2015). A new paradigm for alignment extraction. In Shvaiko, P., OM 2015 : Proceedings of the 10th International Workshop on Ontology Matching collocated with the 14th International Semantic Web Conference (ISWC 2015) Bethlehem, PA, USA, October 12, 2015 (S. 1-12). CEUR Workshop Proceedings, RWTH: Aachen.
Meilicke, C., Trojahn, C., Svab-Zamazal, O. and Ritze, D. (2015). Multilingual ontology matching evaluation - a first report on using multifarm. In Simperl, E., The Semantic Web: ESWC 2012 Satellite Events : ESWC 2012 Satellite Events, Heraklion, Crete, Greece, May 27-31, 2012. Revised Selected Papers (S. 132-147). Lecture Notes in Computer Science, Springer: Berlin ; Heidelberg.
Melo, A. and Völker, J. (2015). Probabilistic Frequent Itemset Mining with Hierarchical Background Knowledge. International Journal of Knowledge Engineering : IJKE, 1, 92-99.
Meusel, R., Bizer, C. and Paulheim, H. (2015). A web-scale study of the adoption and evolution of the schema.org vocabulary over time. In Akerkar, R., Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, WIMS 2015, Larnaca, Cyprus, July 13-15, 2015 (S. Article 15, 1-11). , ACM: New York, NY.
Meusel, R. and Paulheim, H. (2015). Creating large-scale training and test corpora for extracting structured data from the web. In Gentile, A., Linked Data for Information Extraction : Proceedings of the Third International Workshop on Linked Data for Information Extraction (LD4IE2015) co-loc. with the 14th International Semantic Web Conference (ISWC 2015) ; Bethlehem, PA, USA, Oct. 12, 2015 (S. 2-6). CEUR Workshop Proceedings, RWTH: Aachen.
Meusel, R. and Paulheim, H. (2015). Heuristics for fixing common errors in deployed schema.org microdata. In Gandon, F., The Semantic Web: Research and Applications : 12th International Conference, ESWC 2015, Portoroz, Slovenia, May 30 - June 4, 2015. Proceedings (S. 152-168). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Meusel, R., Primpeli, A., Meilicke, C., Paulheim, H. and Bizer, C. (2015). Exploiting microdata annotations to consistently categorize product offers at web scale. In Stuckenschmidt, H., E-Commerce and Web Technologies : 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, revised selected papers (S. 83-99). Lecture Notes in Business Information Processing, Springer International Publishing : Cham.
Meusel, R., Spahiu, B., Bizer, C. and Paulheim, H. (2015). Towards automatic topical classification of LOD datasets. In Bizer, C., LDOW 2015 : Proceedings of the Workshop on Linked Data on the Web ; co-located with the 24th International World Wide Web Conference (WWW 2015) ; Florence, Italy, May 19th, 2015 (S. Paper 03). CEUR Workshop Proceedings, RWTH: Aachen.
Meusel, R., Vigna, S., Lehmberg, O. and Bizer, C. (2015). The Graph Structure in the Web - Analyzed on Different Aggregation Levels. The Journal of Web Science, 1, 33-47.
Opitz, B., Sztyler, T., Jess, M., Knip, F., Bikar, C., Pfister, B. and Scherp, A. (2015). On-the-fly entity resolution from distributed social media sources for mobile search and exploration. In , MUM '15 : proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, November 30 - December 2, 2015, Linz, Austria (S. 14-24). , ACM: New York, NY.
Paulheim, H. (2015). Nobody wants to live in a cold city where no music has been recorded: analyzing statistics with Explain-a-LOD. In Simperl, E., The Semantic Web: ESWC 2012 Satellite Events : ESWC 2012 Satellite Events, Heraklion, Crete, Greece, May 27-31, 2012. Revised Selected Papers (S. 387-391). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Paulheim, H. (2015). What the Adoption of schema.org Tells About Linked Open Data. In Berendt, B., Joint Proceedings of the 5th International Workshop on Using the Web in the Age of Data (USEWOD '15) and the 2nd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '15) ... 12th European Semantic Web Conference (S. 85-90). CEUR Workshop Proceedings, RWTH: Aachen.
Paulheim, H. and Gangemi, A. (2015). Serving DBpedia with DOLCE - more than just adding a cherry on top. In Arenas, M., The Semantic Web - ISWC 2015 : 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I (S. 180-196). Lecture Notes in Computer Science, Springer: Cham [u.a.].
Paulheim, H. and Meusel, R. (2015). A decomposition of the outlier detection problem into a set of supervised learning problems. Machine Learning, 100, 509-531.
Paulheim, H., Schulz, A., Janssen, F., Ristoski, P. and Schweizer, I. (2015). Intelligente Datenauswertung mit Linked Open Data. In Ege, B. Corporate Semantic Web (S. 187-201). Berlin ; Heidelberg: Springer Vieweg.
Petroni, F., del Corro, L. and Gemulla, R. (2015). CORE: Context-aware open relation extraction with factorization machines. In , Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015 (S. 1763-1773). , Assoc. for Computational Linguistics: Stroudsburg, Pa..
Ponzetto, S. P., Wessler, H., Weiland, L., Kopf, S., Effelsberg, W. and Stuckenschmidt, H. (2015). Automatic classification of iconic images based on a multimodal model : an interdisciplinary project. In Wildfeuer, J., Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 193-210). Sprache - Medien - Innovationen, Peter Lang Edition: Frankfurt am Main ; Bern; Wien.
Riboni, D., Bettini, C., Civitarese, G., Janjua, Z. H. and Helaoui, R. (2015). Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment. In , 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom 2015) : St. Louis, Missouri, USA, 23 - 27 March 2015 (S. 149-154). , IEEE: Piscataway, NJ.
Ristoski, P. (2015). Towards Linked Open Data enabled data mining: strategies for feature generation, propositionalization, selection, and consolidation. In Gandon, F., The Semantic Web. Latest Advances and New Domains : 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 - June 4, 2015. Proceedings (S. 772-782). Lecture Notes in Computer Science, Springer: Cham.
Ristoski, P., Bizer, C. and Paulheim, H. (2015). Mining the web of linked data with RapidMiner. Web Semantics, 35, 142-151.
Ristoski, P. and Paulheim, H. (2015). Visual analysis of statistical data on maps using Linked Open Data. In Gandon, F., The Semantic Web: ESWC 2015 Satellite Events : ESWC 2015 Satellite Events, Portorož, Slovenia, May 31--June 4, 2015, Revised Selected Papers (S. 138-143). Lecture Notes in Computer Science, Springer: Cham.
Ristoski, P., Paulheim, H., Svatek, V. and Zeman, V. (2015). The Linked Data Mining Challenge 2015. In Völker, J., Knowledge Discovery and Data Mining Meets Linked Open Data : Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015) Portoroz, Slovenia, May 31, 2015 (S. Paper 13). CEUR Workshop Proceedings, RWTH: Aachen.
Ristoski, P., Schuhmacher, M. and Paulheim, H. (2015). Using graph metrics for linked open data enabled recommender systems. In Stuckenschmidt, H., E-Commerce and Web Technologies : 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, revised selected papers (S. 30-41). Lecture Notes in Business Information Processing, Springer International Publishing: Cham.
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