For bachelor students we offer German lectures on database systems in addition to paper- or project-oriented seminars. Within a one-year bachelor project, students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, and information retrieval enhanced by specialized seminars, master projects and we advise master theses.
Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our datasets and source code.
Nitisha Jain, Ralf Krestel: Discovering Fine-Grained Semantics in Knowledge Graph Relations. Proceedings of the Thirty-First ACM International Conference on Information and Knowledge Management (CIKM), 2022 (to appear)
Nitisha Jain, Alejandro Sierra-Múnera, Jan Ehmueller, Ralf Krestel: Generation of Training Data for Named Entity Recognition of Artworks. Semantic Web Journal (Special Issue Cultural Heritage 2021) [Preprint]
Nitisha Jain, Ralf Krestel: Semantics-driven Refinement for Relational Data. Full paper at the Structured and Unstructured Knowledge Integration (SUKI) Workshop at 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022).
Maria Lomaeva, Nitisha Jain: Relation Canonicalization in Open Knowledge Graphs: A Quantitative Analysis. Proceedings of the the Extended Semantic Web Conference, Posters and Demos (ESWC), 2022 - Nominated for the best poster award [Paper]
Nitisha Jain, Alejandro Sierra-Múnera, Philipp Schmidt, Julius Streit, Simon Thormeyer, Maria Lomaeva, Ralf Krestel: Generating Domain-Specific Knowledge Graphs: Challenges with Open Information Extraction. Proceedings of the International Workshop on Knowledge Graph Generation from Text at ESWC, 2022. [Paper]
Nitisha Jain : Knowledge Graph Representation with Embeddings. Featured talk at the the 2nd Workshop on Unstructured and Structured KBs at AKBC 2021 conference. [Featured Abstract]
Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel: Do Embeddings Actually Capture Knowledge Graph Semantics? Recently published papers track of the International Conference on Principles of Knowledge Representation and Reasoning (KR), 2021. [ExtendedAbstract]
Nitisha Jain, Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova: Improving Knowledge Graph Embeddings with Ontological Reasoning. Proceedings of the International Semantic Web Conference (ISWC), 2021. [Paper]
Nitisha Jain, Jan-Christoph Kalo, Wolf-Tilo Balke, Ralf Krestel: Do Embeddings Actually Capture Knowledge Graph Semantics?. Proceedings of the Extended Semantic Web Conference (ESWC), 2021 [Paper][URL][DOI:10.1007/978-3-030-77385-4_9]
Nitisha Jain, Christian Bartz, Tobias Bredow, Emanuel Metzenthin, Jona Otholt, Ralf Krestel: Semantic Analysis of Cultural Heritage Data: Aligning Paintings and Descriptions in Art-Historic Collections. Proceedings of the International Workshop on Fine Art Pattern Extraction and Recognition (FAPER@ICPR), 2020 [Paper][Springer][DOI:10.1007/978-3-030-68796-0_37]
Nitisha Jain, Ralf Krestel: Learning Fine-Grained Semantics for Multi-Relational Data. Proceedings of the International Semantic Web Conference, Posters and Demos (ISWC), 2020 [Paper][Poster]
Nitisha Jain: Multimodal Knowledge Graphs for Semantic Analysis of Cultural Heritage Data. Invited Talk at the Workshop on Knowledge Bases and Multiple Modalities (KBMM@AKBC), 2020 [Paper][Slides]
Nitisha Jain, Christian Bartz, Ralf Krestel: Automatic Matching of Paintings and Descriptions in Art-Historic Archives using Multimodal Analysis. Proceedings of the International Workshop on Artificial Intelligence for Historical Image Enrichment and Access (AI4HI@LREC), 2020 [Paper][URL]
Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum: Coverage of Information Extraction from Sentences and Paragraphs. Proceedings of the Conference on Empirical Methods in Natural Language Processing and the International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 [Paper][ACL Web][DOI:10.18653/v1/D19-1583]