PUB - Publikationen an der Universität Bielefeld

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  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985550

  Derksen, M., Becker, J., Elahi, M.F., Maier, A., Maile, M., Pätzold, I., Penningroth, J., Reglin, B., Rothgänger, M., Cimiano, P., Schubert, E., Schwandt, S., Kuhlen, T., Botsch, M. & Weissker, T. (2023). Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality. 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (S. 129-137). Gehalten auf der 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE. doi:10.1109/ISMAR59233.2023.00027.

  PUB | DOI
   
• [4]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2985000

  Becker, J., Botsch, M., Cimiano, P., Derksen, M., Elahi, M.F., Maier, A., Maile, M., Pätzold, I., Penningroth, J., Reglin, B., Rothgänger, M. & Schwandt, S. (2023). Virtual Reality Based Access to Knowledge Graphs for History Research (Studies on the Semantic Web). In M. Acosta, S. Peroni, S. Vahdati, A.-L. Gentile, T. Pellegrini & J.-C. Kalo (Hrsg.), Knowledge Graphs: Semantics, Machine Learning, and Languages. Proceedings of the 19th International Conference on Semantic Systems, 20–22 September 2023, Leipzig, Germany. IOS Press. doi:10.3233/SSW230011.

  PUB | DOI
   
• [3]
  

  2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2983948

  Becker, J., Botsch, M., Cimiano, P., Derksen, M., Elahi, M.F., Maier, A., Maile, M., Pätzold, I., Penningroth, J., Reglin, B., Rothgänger, M. & Schwandt, S. (2023). Virtual Reality Based Access to Knowledge Graphs for History Research (Studies on the Semantic Web). In M. Acosta, S. Peroni, S. Vahdati, A.-L. Gentile, T. Pellegrini & J.-C. Kalo (Hrsg.), Knowledge Graphs: Semantics, Machine Learning, and Languages. Proceedings of the 19th International Conference on Semantic Systems, 20–22 September 2023, Leipzig, Germany. IOS Press. doi:10.3233/SSW230011.

  PUB | DOI
   
• [2]
  

  2023 | Konferenzbeitrag | PUB-ID: 2980524

  Elahi, M.F., Ell, B. & Cimiano, P. (2023). LexExMachinaQA: A framework for the automatic induction of ontology lexica for Question Answering over Linked Data. Gehalten auf der LDK.

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  2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2954753

  Ell, B., Elahi, M.F. & Cimiano, P. (Accepted). Bridging the gap between Ontology and Lexicon via Class-specific Association Rules Mined from a Loosely-Parallel Text-Data Corpus. Gehalten auf der LDK 2021 – 3rd Conference on Language, Data and Knowledge.

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