Publications
2025
- Brinkmann, A., Shraga, R. and Bizer, C. (2025). ExtractGPT: Exploring the potential of Large Language Models for product attribute value extraction. In , Information integration and web intelligence : 26th International Conference, iiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024, Proceedings. Part I (S. 38–52). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Mai, H. T., Cuong Xuan, C. and Paulheim, H. (2025). Do LLMs really adapt to domains? An ontology learning perspective. In , The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings. Part 1 (S. 126–143). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- 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.
- Shaban, A. and Paulheim, H. (2025). SnapE – training snapshot ensembles of link prediction models. In , The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings. Part 1 (S. 3–22). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
- Sousa, R. T., Pesquita, C. and Paulheim, H. (2025). Towards leveraging explicit negative statements in knowledge graph embeddings. Journal of Web Semantics, 84, 1–6.
2024
- Meroño Peñuela, A., Dimou, A., Troncy, R., Hartig, O., Acosta, M., Alam, M., Paulheim, H. and Lisena, P. (eds.) (2024). The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings. Part 1. Cham: Springer.
- Meroño Peñuela, A., Dimou, A., Troncy, R., Hartig, O., Acosta, M., Alam, M., Paulheim, H. and Lisena, P. (eds.) (2024). The Semantic Web : 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26–30, 2024, Proceedings. Part 2. Cham: Springer.
- Amiri Elyasi, K., Sola, D., Meilicke, C., der Aa, H. and Stuckenschmidt, H. (2024). Knowledge graph completion for activity recommendation in business process modeling. Künstliche Intelligenz : KI, 1–15.
- 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.].
- Bombieri, M., Rospocher, M., Ponzetto, S. P. and Fiorini, P. (2024). Surgicberta: a pre-trained language model for procedural surgical language. International Journal of Data Science and Analytics, 18, 69–81.
- Bombieri, M., Rospocher, M., Ponzetto, S. P. and Fiorini, P. (2024). The robotic-surgery propositional bank. Language Resources and Evaluation, 58, 1043-1071.
- 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.].
- Bubak, A., Rolf, B., Reggelin, T., Lang, S. and Stuckenschmidt, H. (2024). An LSTM network-based genetic algorithm for integrated procurement and scheduling optimisation. International Journal of Production Research, 1–30.
- Böckling, M., Paulheim, H. and Detzler, S. (2024). A planet scale spatial-temporal knowledge graph based on OpenStreetMap and H3 grid. In , GeoLD 2024: Geospatial Linked Data Workshop 2024 : proceedings of the 6th International Workshop on Geospatial Linked Data 2024, co-located with 21st Extended Semantic Web Conference (ESWC 2024) : Hersonissos, Greece, May 26th, 2024 (S. 60–72). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Böckling, M., Paulheim, H. and Detzler, S. (2024). Comparing spatial-temporal knowledge graph on spatial downstream tasks. In , International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024) : 32nd ACM SIGSPATIAL (S. 581–584). , Association for Computing Machinery: New York, NY.
- Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). Combining fairness and causal graphs to advance both. In , Fairness and Bias in AI : Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) (S. 1–14). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- 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.
- Cohausz, L., Tschalzev, A., Bartelt, C. and Stuckenschmidt, H. (2024). Investigating demographic features and their connection to performance, predictions, and fairness in EDM models. Journal of Educational Data Mining, 16, 177–213.
- Dieing, T. I., Scheffler, M. and Cohausz, L. (2024). Enhancing chatbot-assisted study program orientation. In , Workshopband der 22. Fachtagung Bildungstechnologien (DELFI) : 09.09.-11.09.2024, Fulda, Deutschland (S. 223–232). , Gesellschaft für Informatik (GI): Bonn.
- Faria de Souza, V. and Paulheim, H. (2024). Towards binarization of knowledge graph embeddings for node classification. In , Proceedings of the ISWC 2024 Posters, Demos and Industry Tracks: from novel ideas to industrial practice co-located with 23rd International Semantic Web Conference (S. 1–6). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- 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.].
- Hung, C. (2024). Multidimensional adaption of language models: domains, languages, and social dimensions. Dissertation. Mannheim.
- 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.
- Scheffler, M., Dieing, T. I. and Cohausz, L. (2024). Developing a personalized study program recommender. In , Workshopband der 22. Fachtagung Bildungstechnologien (DELFI) : 9.-11. September 2024, Fulda, Deutschland (S. 233–240). , Gesellschaft für Informatik (GI): Bonn.
- 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.
- Takeshita, S., Green, T., Reinig, I., Eckert, K. and Ponzetto, S. P. (2024). ACLSum: A new dataset for aspect-based summarization of scientific publications. In , The 2024 Conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the conference, June 16–21, 2024. Volume 1 Long papers (S. 6660-6675). , Association for Computational Linguistics (ACL): Kerrville, TX.
- Takeshita, S., Ponzetto, S. P. and Eckert, K. (2024). ROUGE-K: Do your summaries have keywords? In , The 13th Joint Conference on Lexical and Computational Semantics : proceedings of the Conference (*SEM 2024), June 20–21, 2024 (S. 69–79). , Association for Computational Linguistics (ACL): Stroudsburg, PA.
- Tschalzev, A., Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). A data-centric perspective on evaluating machine learning models for tabular data. In , The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (S. 1–35). , NeurIPS: Vancouver, BC.
- 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
- Abd Nikooie Pour, M., Algergawy, A., Buche, P., Castro, L. J., Chen, J., Coulet, A., Cufi, J., Dong, H., Fallatah, O., Faria, D., Fundulaki, I., Hertling, S., He, Y., Horrocks, I., Huschka, M., Ibanescu, L., Jain, S., Jiménez-Ruiz, E., Karam, N., Lambrix, P., Li, H., Li, Y., Monnin, P., Nasr, E., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Sousa, G., Trojahn, C., Vataščinová, J., Wu, M., Yaman, B., Zamazal, O. and Zhou, L. (2023). Results of the Ontology Alignment Evaluation Initiative 2023. In , OM 2023: Ontology Matching : proceedings of the 18th International Workshop on Ontology Matching, co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 7, 2023 (S. 97–139). CEUR workshop proceedings, RWTH Aachen: Aachen, Germany.
- 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.].
- Gautschi, T., Gschwend, T., Oberländer, L., Ponzetto, S. P. and Stuckenschmidt, H. (2023). Der Mannheim Master in Social Data Science. In , INFORMATIK 2023 : Designing Futures: Zukünfte gestalten (S. 81–88). GI-Edition : Lecture Notes in Informatics. Proceedings, Gesellschaft für Informatik (GI): Bonn.
- 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 results for OAEI 2023. In , OM 2023: Ontology Matching : proceedings of the 18th International Workshop on Ontology Matching, co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Athens, Greece, November 7, 2023 (S. 170–177). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- 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.
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- Lukasik, J. (2023). Topology Learning for Prediction, Generation, and Robustness in Neural Architecture Search. Dissertation. Mannheim.
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- 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.
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- Sola, D. (2023). Recommending activities for business process models. Dissertation. Mannheim.
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2022
- Alturki, S. (2022). Predicting students' academic achievement using methods of educational data mining. Dissertation. Mannheim.
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- Portisch, J., Hladik, M. and Paulheim, H. (2022). Background knowledge in ontology matching : a survey. Semantic Web, 55, 1–55.
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- 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.].
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