Publications

Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, and Erhard Rahm. Construction of Knowledge Graphs: Current state and challenges. Information (Basel), (15)8:509, MDPI AG, August 2024. [PUMA: Graphs Knowledge challenges]

Chengjin Xu, Fenglong Su, and Jens Lehmann. Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs. 2022. [PUMA: Alignment Entity Graph Graphs Knowledge Networks Neural Temporal Time-aware] URL

Kossi Amouzouvi, Bowen Song, Sahar Vahdati, and Jens Lehmann. Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. In Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 9832--9842, ELRA and ICCL, 2024. [PUMA: Completion Embeddings GeoGebra Geometry Graph Knowledge Relation] URL

Jens Lehmann, Sébastien Ferré, and Sahar Vahdati. Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. In Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, and Roxana Radulescu (Eds.), ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), (372):1348--1356, IOS Press, 2023. [PUMA: Answering Controlled Graph Knowledge Language Models Natural Parsers Question Semantic] URL

Denny Vrandecić, Lydia Pintscher, and Markus Krötzsch. Wikidata: The Making Of. In Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, and Geert-Jan Houben (Eds.), Companion Proceedings of the ACM Web Conference 2023 (WWW'23), 615–624, Association for Computing Machinery (ACM), New York, United States of America, Apr 30, 2023. [PUMA: topic_knowledge FIS_scads MediaWiki, Wikibase, Wikidata, graph knowledge]

Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, and Martin Potthast. CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3023–3030, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: causality extraction, graph, information knowledge] URL