Publications
2025
- Peeters, R., Steiner, A. and Bizer, C. (2025). Entity matching using large language models. In , Proceedings 28th International Conference on Extending Database Technology (EDBT 2025), Barcelona, Spain, March 25-March 28 (S. 529–541). OpenProceedings, OpenProceedings.org: Konstanz.
2024
- Betz, P., Galarraga, L., Ott, S., Meilicke, C., Suchanek, F. M. and Stuckenschmidt, H. (2024). PyClause – Simple and efficient rule handling for knowledge graphs. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track : Jeju, 03–09 August 2024 (S. 1–3). tba, International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
- Betz, P., Lüdtke, S., Meilicke, C. and Stuckenschmidt, H. (2024). Rule Confidence Aggregation for Knowledge Graph Completion. In , Rules and reasoning : 8th International Joint Conferrence, RuleML+RR 2024, Rucharest, Romania, September 16–18, 2024, Proceedings (S. 1–1). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Brinkmann, A., Baumann, N. and Bizer, C. (2024). Using LLMs for the extraction and normalization of product attribute values. In , Advances in databases and information systems : 28th European Conference, ADBIS 2024, Bayonne, France, August 28–31, 2024 ; Proceedings (S. 217–230). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Brinkmann, A., Shraga, R. and Bizer, C. (2024). SC-block: Supervised contrastive blocking within entity resolution pipelines. In , The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings, Part I (S. 121–142). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). What fairness metrics can really tell you: A case study in the educational domain. In , LAK'24: Proceedings of the 14th Learning Analytics and Knowledge Conference (S. 792–799). , Association for Computing Machinery: Kyoto, Japan.
- Gastinger, J., Meilicke, C., Errica, F., Sztyler, T., Schuelke, A. and Stuckenschmidt, H. (2024). History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track : Jeju, 03–09 August 2024 (S. ). , International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
- Heist, N. (2024). Exploiting semi-structured information in Wikipedia for knowledge graph construction. Dissertation. Mannheim.
- Hertling, S. (2024). Knowledge graph : generation and integration at scale. Dissertation. Mannheim.
- Hubert, N., Paulheim, H., Brun, A. and Monticolo, D. (2024). Do similar entities have similar embeddings? In , The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings. Part I (S. 3–21). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Iana, A., Alam, M. and Paulheim, H. (2024). A survey on knowledge-aware news recommender systems. Semantic Web, 15, 21–82.
- Iana, A., Glavaš, G. and Paulheim, H. (2024). MIND your language: A multilingual dataset for cross-lingual news recommendation. In , Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14–18, 2024 (S. 553–563). , ACM: New York.
- Iana, A., Glavaš, G. and Paulheim, H. (2024). Train once, use flexibly: A modular framework for multi-aspect neural news recommendation. In , Findings of EMNLP 2024 : The 2024 Conference on Empirical Methods in Natural Language Processing : November 12–16, 2024 (S. 9555-9571). , Association for Computational Linguistics: Miami, Florida, USA.
- Kadel, P., Heist, N., Paulheim, H. and Mata, J. (2024). From pixels to palate: Communication around #vegan on Instagram and its relation with eating intentions. Appetite : Multidisciplinary Research on Eating and Drinking, 200, 1–10.
- Kappenberger, J. and Stuckenschmidt, H. (2024). A framework for human-centered AI-based public policies. In Human-centered AI: A multidisciplinary perspective for policy-makers, auditors, and users (S. 287–303). Boca Raton: CRC Press.
- Keil, M. (2024). AI-supported UI design for enhanced development of neurodiverse-friendly IT-systems. In , NordDesign 2024. Proceedings (S. 1–10). , The Design Society: .
- Krause, F., Paulheim, H., Kiesling, E., Kurniawan, K., Leva, M. C., Estrada-Lugo, H. D., Stübl, G., Üre, N. K., Dominguez-Ledo, J., Khan, M., Demolder, P., Gaux, H., Heinzl, B., Hoch, T., Martinez-Gil, J., Silvina, A. and Moser, B. A. (2024). Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned. Frontiers in Artificial Intelligence, 7, 1–20.
- Litschko, R. (2024). Resource-lean transfer methods for cross-lingual information retrieval. Dissertation. Mannheim.
- Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). GRANDE: Gradient-Based Decision Tree Ensembles for tabular data. In , International Conference on Learning Representations (S. 1–27). , OpenReview.net: .
- Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). GradTree: Learning axis-aligned decision trees with gradient descent. In , Proceedings of the 38th AAAI Conference on Artificial Intelligence (S. 14323-14331). , AAAI Press: Washington, DC.
- Marton, S., Lüdtke, S., Bartelt, C., Tschalzev, A. and Stuckenschmidt, H. (2024). Explaining neural networks without access to training data. Machine Learning, 113, 3633-3652.
- Meilicke, C., Chekol, M. W., Betz, P., Fink, M. and Stuckenschmidt, H. (2024). Anytime bottom-up rule learning for large-scale knowledge graph completion. The VLDB Journal, 33, 131–161.
- Peeters, R., Brinkmann, A. and Bizer, C. (2024). The Web Data Commons Schema.org Table Corpora. In , WWW '24 companion : companion proceedings of the ACM Web Conference 2024 (S. 1079-1082). , Association for Computing Machinery: New York, NY, United States.
- Portisch, J. and Paulheim, H. (2024). The RDF2vec family of knowledge graph embedding methods : An experimental evaluation of RDF2vec variants and their capabilitie. Semantic Web, 15, 845–876.
- Rehbein, I. and Ponzetto, S. P. (2024). A new resource and baselines for opinion role labelling in German parliamentary debates. In , ParlaCLARIN IV : workshop on Creatign, Analysing, and Increasing Accessibility of Parliamentary Corpora : LREC-COLING 2024 (S. 163–170). , ELRA: Torino, Italia.
- Rehbein, I., Ruppenhofer, J., Brunner, A. and Ponzetto, S. P. (2024). Out of the mouths of MPs: Speaker attribution in parliamentary debates. In , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) : main conference proceedings, 20–25 May, 2024, Torino, Italia (S. 12553-12563). , ELRA and ICCL: Torino, Italia.
- Reinig, I., Becker, M., Rehbein, I. and Ponzetto, S. P. (2024). A survey on modelling morality for text analysis. In , Findings of the Association for Computational Linguistics ACL 2024, 62nd annual meeting of the Association for Computational Linguistics (ACL 2024) : Proceedings of the conference, August 11–16, 2024 (S. 4136-4155). , Association for Computational Linguistics (ACL): Kerrville, TX.
- Reinig, I., Rehbein, I. and Ponzetto, S. P. (2024). How to do politics with words: Investigating speech acts in parliamentary debates. In , The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) : main conference proceedings, 20–25 May, 2024, Torino, Italia (S. 8287-8300). , ELRA and ICCL: Torino, Italia.
- Schlechtinger, M. (2024). Investigating, predicting, and mitigating collusive behavior in deep reinforcement learning-based pricing AIs. Dissertation. Mannheim.
- Schlechtinger, M., Kosack, D., Krause, F. and Paulheim, H. (2024). By fair means or foul: Quantifying collusion in a market simulation with deep reinforcement learning. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 : main track (S. 485–493). , International Joint Conferences on Artificial Intelligence Organization: Darmstadt ; Vienna.
- Sousa, R. T. and Paulheim, H. (2024). Integrating heterogeneous gene expression data through knowledge graphs for improving diabetes prediction. In , SeWeBMeDa 2024 : Proceedings of the 7th Workshop on Semantic Web solutions for large-scale biomedical data analytics co-located with the ESWC 2024: Extended Semantic Web Conference (ESWC 2024) (S. 1–11). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Spreitzenbarth, J., Bode, C. and Stuckenschmidt, H. (2024). Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice. Journal of Purchasing and Supply Management, 30, 1–21.
- Takeshita, S., Green, T., Friedrich, N., Eckert, K. and Ponzetto, S. P. (2024). Cross-lingual extreme summarization of scholarly documents. International Journal on Digital Libraries, 25, 249–271.
- Tschalzev, A., Nitschke, P., Kirchdorfer, L., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). Enabling mixed effects neural networks for diverse, clustered data using Monte Carlo methods. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence: Jeju, 03–09 August 2024 (S. ). , International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
- Wilken, N., Cohausz, L., Bartelt, C. and Stuckenschmidt, H. (2024). Fact Probability Vector Based Goal Recognition. In , 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (S. 4254-4261). Frontiers in Artificial Intelligence and Applications, IOS Press: Amsterdam [u.a.].
2023
- Baumgartner, M., Dell'Aglio, D., Paulheim, H. and Bernstein, A. (2023). Towards the web of embeddings: integrating multiple knowledge graph embedding spaces with FedCoder. Web Semantics, 75, 1–18.
- Biswas, R., Kaffee, L.-A., Cochez, M. and Paulheim, H. (2023). Knowledge graph embeddings: open challenges and opportunities. Transactions on Graph Data and Knowledge : TGDK, 1, 1–32.
- Bizer, C., Heath, T. and Berners-Lee, T. (2023). Linked data – the story so far. In Linking the world’s information: Essays on Tim Berners-Lee’s Invention of the World Wide Web (S. 115–143). New York: ACM Digital Library.
- Bombieri, M., Rospocher, M., Ponzetto, S. P. and Fiorini, P. (2023). Machine understanding surgical actions from intervention procedure textbooks. Computers in Biology and Medicine, 152, 1–12.
- Breit, A., Waltersdorfer, L., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. . and van Harmelen, F. (2023). Combining machine learning and semantic web: A systematic mapping study. ACM Computing Surveys : CSUR, 55, 1–41.
- Brinkmann, A. (2023). Neural data search for table augmentation.
In , Proceedings of the Workshops of the EDBT/
ICDT 2023 Joint Conference, Ioannina, Greece, March, 28, 2023 (S. 1–4). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany. - Brinkmann, A., Primpeli, A. and Bizer, C. (2023). The Web Data Commons Schema.Org Data Set Series. In , The ACM Web Conference : Companion of the World Wide Web Conference WWW 2023 (S. 136–139). , Association for Computing Machinery: New York, NY.
- Busch, K., Rochlitzer, A., Sola, D. and Leopold, H. (2023). Just tell me: Prompt engineering in business process management. In , Enterprise, business-process and information systems modeling : 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 12–13, 2023, proceedings (S. 3–11). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
- Böckling, M., Paulheim, H. and Detzler, S. (2023). Wildfire prediction for California using and comparing Spatio-Temporal Knowledge Graphs. Information Technology : IT, 65, 189–199.
- Böckling, M., Paulheim, H. and Detzler, S. (2023). Wildfire prediction using spatio-temporal knowledge graphs. In , D2R2 2023: Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023) (S. 1–11). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Cohausz, L., Tschalzev, A., Bartelt, C. and Stuckenschmidt, H. (2023). Investigating the importance of demographic features for EDM-predictions. In , Proceedings of the 16th International Conference on Educational Data Mining (S. 125–136). , International Educational Data Mining Society: Bengaluru, India.
- Daniel, R. (2023). Knowledge graph embeddings: link prediction and beyond. Dissertation. Mannheim.
- De la Peña Sarracén, G. L., Rosso, P., Litschko, R., Glavaš, G. and Ponzetto, S. P. (2023). Vicinal risk minimization for few-shot cross-lingual transfer in abusive language detection. In , The 2023 Conference on Empirical Methods in Natural Language Processing : proceedings of the conference, December 6–10, 2023 (S. 4069-4085). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Ekaputra, F. J., Llugiqi, M., Sabou, M. and Paulheim, H. (2023). Describing and organizing semantic web and machine learning systems in the SWeMLS-KG. In , The semantic web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 – June 1, 2023 : proceedings (S. 372–389). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Friede, D. (2023). Exploring discrete representations in stochastic computation graphs: Challenges, benefits, and novel strategies. Dissertation. Mannheim.
- Friede, D., Reimers, C., Stuckenschmidt, H. and Niepert, M. (2023). Learning disentangled discrete representations. In , Machine learning and knowledge discovery in databases : research track : European conference, EMCL PKDD 2023, Turin, Italy, september 18–22,2023, proceedings, part IV (S. 593–609). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Gastinger, J., Sztyler, T., Sharma, L., Schuelke, A. and Stuckenschmidt, H. (2023). Comparing apples and oranges? : on the evaluation of methods for temporal knowledge graph forecasting. In , Machine learning and knowledge discovery in databases: research track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 : proceedings. Part III (S. 533–549). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Green, T., Ponzetto, S. P. and Glavaš, G. (2023). Massively multilingual lexical specialization of multilingual transformers. In , The 61st Conference of the the Association for Computational Linguistics : July 9–14, 2023 : ACL 2023. (S. 7700-7715). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
- Hassanzadeh, O., Abdelmageed, N., Efthymiou, V., Chen, J., Cutrona, V., Hulsebos, M., Jiménez-Ruiz, E., Khatiwada, A., Korini, K., Kruit, B., Sequeda, J. and Srinivas, K. (2023). Results of SemTab 2023. In , Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, SemTab 2023, co-located with the 22nd International Semantic Web Conference, ISWC 2023, Athens, Greece, November 6–10, 2023 (S. 1–14). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- He, Y., Schreckenberger, C., Stuckenschmidt, H. and Wu, X. (2023). Towards utilitarian online learning – A review of online algorithms in open feature space. In , Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (S. 6647-6655). , International Joint Conferences on Artificial Intelligence Organization: Macao SAR.
- Heist, N., Hertling, S. and Paulheim, H. (2023). KGrEaT: a framework to evaluate knowledge graphs via downstream tasks. In , CIKM '23 : Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (S. 3938-3942). , Association for Computing Machinery: New York, NY.
- Heist, N. and Paulheim, H. (2023). NASTyLinker: NIL-aware scalable transformer-based entity linker. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28-June 1, 2023, Proceedings (S. 174–191). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Hertling, S. and Paulheim, H. (2023). OLaLa: Ontology matching with large language models. In , K-CAP ‘23 : proceedings of the 12th Knowledge Capture conference 2023, Pensacola, Florida, USA (S. 131–139). , Association for Computing Machinery: New York, NY.
- Hertling, S. and Paulheim, H. (2023). Transformer based semantic relation typing for knowledge graph integration. In , The semantic web: 20th international conference, ESWC 2023 Hersonissos, Crete, Greece, May 28–June 1, 2023 : proceedings (S. 105–121). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Hubert, N., Paulheim, H., Monnin, P., Brun, A. and Monticolo, D. (2023). Schema first! Learn versatile knowledge graph embeddings by capturing semantics with MASCHInE. In , K-CAP ‘23: Proceedings of the 12th Knowledge Capture Conference 2023: Pensacola, Florida, USA (S. 188–196). , Association for Computing Machinery: New York, NY.
- Hung, C.-C., Lauscher, A., Hovy, D., Ponzetto, S. P. and Glavaš, G. (2023). Can demographic factors improve text classification? Revisiting demographic adaptation in the age of transformers. In , The 17th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2023, May 2–6, 2023 (S. 1565-1580). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Iana, A., Alam, M., Grote, A., Nikolajevic, N., Ludwig, K., Müller, P., Weinhardt, C. and Paulheim, H. (2023). NeMig – A bilingual news collection and knowledge graph about migration. In , Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023) (S. 1–22). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Iana, A., Glavaš, G. and Paulheim, H. (2023). NewsRecLib: A PyTorch-Lightning library for neural news recommendation. In , EMNLP 2023, The 2023 Conference on Empirical Methods in Natural Language Processing : proceedings of the system demonstrations (S. 296–310). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
- Iana, A., Glavaš, G. and Paulheim, H. (2023). Simplifying content-based neural news recommendation: On user modeling and training objectives. In , Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) (S. 2384-2388). , Association for Computing Machinery: New York, NY, United States.
- Keil, M. V. and Bleisinger, O. (2023). Benutzeroberflächen von MBSE-Tools und deren Auswirkung auf neurodivergente Systemarchitekten. In , Tag des Systems Engineering (S. 9–15). , Books on Demand GmbH: Bremen.
- Klamm, C., Rehbein, I. and Ponzetto, S. P. (2023). Our kind of people? Detecting populist references in political debates. In , Findings of EACL 2023 : The 17th Conference of the European Chapter of the Association for Computational Linguistics (S. 1227-1243). , Association for Computational Linguistics: Dubrovnik, Croatia.
- Klironomos, A., Zhou, B., Tan, Z., Zheng, Z., Mohamed, G.-E., Paulheim, H. and Kharlamov, E. (2023). ExeKGLib: knowledge graphs-empowered machine learning analytics. In , The semantic web: 20th international conference, ESWC 2023 Hersonissos, Crete, Greece, May 28–June 1, 2023 : proceedings (S. 123–127). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Kobbe, J. (2023). Automatic generation of structured explanations for arguments from consequences. Dissertation. Mannheim.
- Kobbe, J., Hulpus, I. and Stuckenschmidt, H. (2023). Effect graph: Effect relation extraction for explanation generation. In , Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE) (S. 116–127). , Association for Computational Linguistics: Toronto, Canada.
- Kochsiek, A. and Gemulla, R. (2023). A benchmark for semi-inductive link prediction in knowledge graphs. In , The 2023 Conference on Empirical Methods in Natural Language Processing – Findings of the Association for Computational Linguistics: EMNLP 2023, December 6–10, 2023 (S. 10634-10643). , Association for Computational Linguistics: Stroudsburg, PA.
- Kochsiek, A., Niesel, F. and Gemulla, R. (2023). Start small, think big: On hyperparameter optimization for large-scale knowledge graph embeddings. In , Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022 : proceedings. Part II (S. 138–154). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Kochsiek, A., Saxena, A., Nair, I. and Gemulla, R. (2023). Friendly neighbors: contextualized sequence-to-sequence link prediction. In , The 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) : Proceedings of the workshop (S. 131–138). , Association for Computational Linguistics: Stroudsburg, PA.
- Kolthoff, K., Bartelt, C. and Ponzetto, S. P. (2023). Correction to: Data-driven prototyping via natural- language-based GUI retrieval. Automated Software Engineering, 30, 1–2.
- Kolthoff, K., Bartelt, C. and Ponzetto, S. P. (2023). Data-driven prototyping via natural-language-based GUI retrieval. Automated Software Engineering, 30, 1–34.
- Korini, K. and Bizer, C. (2023). Column type annotation using ChatGPT. In , Joint proceedings of workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 – September 1, 2023, VLDBW 2023 (S. 1–12). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Krause, F., Kurniawan, K., Kiesling, E., Paulheim, H. and Polleres, A. (2023). On the representation of dynamic BPMN process executions in knowledge graphs. In , Knowledge graphs and semantic web : 5th Iberoamerican conference and 4th Indo-American conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023 : proceedings (S. 97–105). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Li, Y., Martschat, S. and Ponzetto, S. P. (2023). Multi-source (pre-)training for cross-domain measurement, unit and context extraction. In , BioNLP and BioNLP-ST : proceedings of the workshop : July 13, 2023 (S. 1–25). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- 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, 41, 2188-2210.
- Lukasik, J. (2023). Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search. Dissertation. Mannheim.
- Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). Outlying aspect mining via sum-product networks. In , Advances in knowledge discovery and data mining: 27th Pacific-Asia Conference on knowledge discovery and data mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023 : proceedings. Part I (S. 27–38). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). GradTree: Learning axis-aligned decision trees with gradient descent. In , (S. 1–17). , Neural Information Processing Systems Foundation, Inc. (NeurIPS): New Orleans.
- Ott, S., Betz, P., Stepanova, D., Gad-Elrab, M. H., Meilicke, C. and Stuckenschmidt, H. (2023). Rule-based knowledge graph completion with canonical models. In , CIKM'23: Proceedings of the 32nd ACM International Conference on Information & Knowledge Management (S. 1971-1981). , ACM: Birmingham, United Kingdom.
- Peeters, R. and Bizer, C. (2023). Using ChatGPT for Entity Matching. In , New Trends in Database and Information Systems : ADBIS 2023 short papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (S. 221–230). Communications in Computer and Information Science, Springer: Cham.
- Peeters, R., Der, R. C. and Bizer, C. (2023). WDC products: A multi-dimensional entity matching benchmark. In , Proceedings 27th International Conference on Extending Database Technology (EDBT 2024), Paestum, Italy, March 25 – March 28 (S. 22–33). OpenProceedings, OpenProceedings.org: Konstanz.
- Preisner, P. and Paulheim, H. (2023). Universal preprocessing operators for embedding knowledge graphs with literals. In , DL4KG 2023 : Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), Athens, November 6–10, 2023 (S. 1–10). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Reinig, I. and Markert, K. (2023). Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs. In , The 15th International Conference on Computational Semantics : proceedings of the conference, June 21 – 23, 2023 Nancy, France (S. 1–15). , Association for Computational Linguistics: Nancy, France.
- Renz-Wieland, A., Kieslinger, A., Gericke, R., Gemulla, R., Kaoudi, Z. and Markl, V. (2023). Good intentions: adaptive parameter management via intent signaling. In , CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (S. 2156-2166). , Association for Computing Machinery: New York, NY.
- Rutesic, P., Pfisterer, D., Fischer, S. and Paulheim, H. (2023). Ontology-based models of chatbots for populating knowledge graphs. In , Knowledge Graphs and Semantic Web: 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023 : proceedings (S. 228–242). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Schlechtinger, M., Kosack, D., Paulheim, H., Fetzer, T. and Krause, F. (2023). The price of algorithmic pricing: Investigating collusion in a market simulation with AI agents. In , AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (S. 2748-2750). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
- Schreckenberger, C., He, Y., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). Online random feature forests for learning in varying feature spaces. In , Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol. 4 (S. 4587-4595). , AAAI Press: Washington, DC.
- Schäfer, B. (2023). Recognizing hand-drawn diagrams in images. Dissertation. Mannheim.
- Schäfer, B., der Aa, H., Leopold, H. and Stuckenschmidt, H. (2023). Sketch2Process: End-to-end BPMN Sketch Recognition Based on Neural Networks. IEEE Transactions on Software Engineering, 49, 2621-2641.
- Sola, D., der Aa, H., Meilicke, C. and Stuckenschmidt, H. (2023). Activity recommendation for business process modeling with pre-trained language models. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greeece, May 28-June 1, 2023. Proceddings (S. 316–334). , Springer International Publishing: Cham, Switzerland.
- Sola, D., Warmuth, C., Schäfer, B., Badakhshan, P., Rehse, J.-R. and Kampik, T. (2023). SAP Signavio Academic Models: A large process model dataset. In , Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers (S. 453–465). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
- Sola, D. (2023). Recommending activities for business process models. Dissertation. Mannheim.
- Sousa, R. T., Silva, S., Paulheim, H. and Pesquita, C. (2023). Biomedical knowledge graph embeddings with negative statements. In , The Semantic Web – ISWC 2023 : 22nd International Semantic Web Conference, Athens, Greece, November 6–10, 2023 : proceedings. Part I (S. 428–446). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Spreitzenbarth, J., Bode, C. and Stuckenschmidt, H. (2023). Designing an AI purchasing requisition bundling generator. Computers in Industry, 155, Article 104043, 1–14.
- 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.
- Theil, K., Hovy, D. and Stuckenschmidt, H. (2023). Top-down influence? Predicting CEO personality and risk impact from speech transcripts. In , Proceedings of the seventeenth International AAAI Conference on web and social media : June 5th – 8th 2023, Limassol, Cyprus (S. 832–841). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
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- Wilken, N., Cohausz, L., Bartelt, C. and Stuckenschmidt, H. (2023). Planning landmark based goal recognition revisited: Does using initial state landmarks make sense? In , KI 2023: Advances in Artificial Intelligence : 46th Conference on AI, Berlin, Germany, September 26–29, 20023, proceedings (S. 231–244). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
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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.
- Alturki, S. and Stuckenschmidt, H. (2022). Assessing students' self-assessment ability in an interdisciplinary domain. Journal of Applied Research in Higher Education : JARHE, 14, 1449-1466.
- Bellan, P., der Aa, H., Dragoni, M., Ghidini, C. and Ponzetto, S. P. (2022). PET: An annotated dataset for process extraction from natural language text tasks. In , Business Process Management Workshops : BPM 2022 International Workshops, Münster, Germany, September 11–16, 2022, revised selected papers (S. 315–321). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
- Bellan, P., Ghidini, C., Dragoni, M., Ponzetto, S. P. and der Aa, H. (2022). Process extraction from natural language text: the PET dataset and annotation guidelines. In , NL4AI 2022 : Proceedings of the Sixth Workshop on Natural Language for Artificial Intelligence (NL4AI 2022), co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), Udine, November 30th, 2022 (S. 165–179). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- 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.
- Betz, P., Meilicke, C. and Stuckenschmidt, H. (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.].
- Bombieri, M., Rospocher, M., Ponzetto, S. P. and Fiorini, P. (2022). The robotic surgery procedural framebank. In , Language Resources and Evaluation Conference, LREC 2022, 20–25 June 2022, Palais du Pharo, Marseille, France : conference proceedings (S. 3950-3959). , European Language Resources Association (ELRA): Paris.
- 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.
- Friede, D. and Niepert, M. (2022). Efficient learning of discrete-continuous computation graphs. In , 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6–14 December 2021 (S. 6720-6732). Advances in Neural Information Processing Systems, Curran Associates: Red Hook, NY.
- Heist, N. and Paulheim, H. (2022). Transformer-based subject entity detection in Wikipedia listings. In , Proceedings of the 5th Workshop on Deep Learning for Knowlege Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022) (S. 1–16). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Holtermann, C., Lauscher, A. and Ponzetto, S. P. (2022). Fair and argumentative language modeling for computational argumentation. In , The 60th Annual Meeting of the Association for Computational Linguistics : proceedings of the conference, May 22–27, 2022 (S. 7841-7861). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Hung, C.-C., Green, T., Litschko, R., Tsereteli, T., Takeshita, S., Bombieri, M., Glavaš, G. and Ponzetto, S. P. (2022). ZusammenQA: Data augmentation with specialized models for cross-lingual open-retrieval question answering system. In , Proceedings of the Workshop on Multilingual Information Access (MIA) (S. 77–90). , Association for Computational Linguistics: Seattle, USA.
- Hung, C.-C., Lauscher, A., Ponzetto, S. P. and Glavaš, G. (2022). DS-TOD: Efficient domain specialization for task-oriented dialog. In , The 60th Annual Meeting of the Association for Computational Linguistics, Findings of ACL 2022 : May 22–27, 2022 (S. 891–904). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Hung, C.-C., Lauscher, A., Vulić, I., Ponzetto, S. P. and Glavaš, G. (2022). Multi2WOZ: A robust multilingual dataset and conversational pretraining for task-oriented dialog. In , The 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies : proceedings of the conference, July 10–15, 2022 (S. 3687-3703). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- 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). The DLCC node classification benchmark for analyzing knowledge graph embeddings. In , The Semantic Web – ISWC 2022 : 21st International Semantic Web Conference, virtualeEvent, October 23–27, 2022, proceedings (S. 592–609). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- 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.].
- Rajula, P., Hung, C.-C. and Ponzetto, S. P. (2022). Stacked model based argument extraction and stance detection using embedded LSTM model. In , CLEF 2022 : Proceedings of the Working Notes of CLEF 2022 – Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th to 8th, 2022 (S. 3064-3073). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Rana, A., Golchha, P., Juntunen, R., Coajă, A., Elzamarany, A., Hung, C.-C. and Ponzetto, S. P. (2022). LeviRANK: Limited query expansion with voting integration for document retrieval and ranking : notebook for the touché lab on argument retrieval at CLEF 2022. In , CLEF 2022 : Proceedings of the Working Notes of CLEF 2022 – Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th to 8th, 2022 (S. 3074-3089). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Renz-Wieland, A., Gemulla, R., Kaoudi, Z. and Markl, V. (2022). NuPS: A parameter server for machine learning with non-uniform parameter access. In , SIGMOD '22 : proceedings of the 2022 International Conference on Management of Data : June 12–17, 2022, Philadelphia, PA, USA (S. 481–495). , ACM: New York, NY.
- Saxena, A., Kochsiek, A. and Gemulla, R. (2022). Sequence-to-sequence knowledge graph completion and question answering. In , Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. Volume 1 Long Papers (S. 2814-2828). , Association for Computational Linguistics: Stroudsburg, PA.
- 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.].
- 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.].
- Takeshita, S., Green, T., Friedrich, N., Eckert, K. and Ponzetto, S. P. (2022). X-SCITLDR: Cross-lingual extreme summarization of scholarly documents.
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IEEE Joint Conference on Digital Libraries in 2022 : hybrid conference, Colone, Germany and online, June 20 -24, 2022 (S. 1–12). , ACM: München. - Theil, C. (2022). Uncertainty, risk, and financial disclosures : applications of natural language processing in behavioral economics. Dissertation. Mannheim.
- Tsereteli, T., Kartal, Y. S., Ponzetto, S. P., Zielinski, A., Eckert, K. and Mayr, P. (2022). Overview of the SV-ident 2022 shared task on survey variable identification in social science publications. In , Proceedings of the Third Workshop on Scholarly Document Processing (S. 229–246). COLING / International Committee on Computational Linguistics, Association for Computational Linguistics: New York, NY.
- 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.
- 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.
- Frendo, O., Gaertner, N. and Stuckenschmidt, H. (2021). Open source algorithm for smart charging of electric vehicle fleets. IEEE Transactions on Industrial Informatics, 17, 6014-6022.
- Frendo, O., Gärtner, N. and Stuckenschmidt, H. (2021). Improving smart charging prioritization by predicting electric vehicle departure time. IEEE Transactions on Intelligent Transportation Systems, 22, 6646-6653.
- Friedrich, N., Lauscher, A., Ponzetto, S. P. and Glavaš, G. (2021). DebIE: A platform for implicit and explicit debiasing of word embedding spaces. In , The 16th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of the System Demonstrations, April 19–23, 2021 (S. 91–98). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Ghanem, B., Ponzetto, S. P., Rosso, P. and Rangel, F. (2021). FakeFlow: Fake news detection by modeling the flow of affective information. In , The 16th Conference of the European Chapter of the Association for Computational Linguistics : proceedings of the conference, April 19–23, 2021 (S. 679–689). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- 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.
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- 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.
- Metzger, N., Hoffmann, L., Bartelt, C., Stuckenschmidt, H., Wommer, M. and Bescos del Castillo, M. B. (2021). Towards trace-graphs for data-driven test case mining in the domain of automated driving. In , Third IEEE International Conference on Artificial Intelligence Testing: AITest 2021 : proceedings : 23–26 August 2021, online event (S. 41–48). , IEEE: Piscataway, NJ.
- 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.].
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