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Results: 122
Number of items: 122
  • Open Access
    Groth, P., Simperl, E., van Erp, M., & Vrandečić, D. (2023). Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century: report from Dagstuhl Seminar 22372. Dagstuhl Reports, 12(9), 60-120. https://doi.org/10.4230/DagRep.12.9.60
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. ArXiv. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. In A. Waaler, E. Kharlamov, B. Zhou, A. Soylu, D. Kyritsis, D. Roman, O. Savkovic, & S. Staab (Eds.), Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) : co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Greece, Athens, 7 November 2023 Article 3 (CEUR workshop proceedings; Vol. 3647). CEUR-WS. https://doi.org/10.48550/arXiv.2310.07348
  • Open Access
    Polat, F., Tiddi, I., Groth, P., & Vossen, P. (2023). Improving Graph-to-Text Generation Using Cycle Training. In S. Carvalho, A. F. Khan, A. Ostroški Anić, B. Spahiu, J. Gracia, J. P. McCrae, D. Gromann, B. Heinisch, & A. Salgado (Eds.), Language, data and knowledge 2023: LDK 2023 : proceedings of the 4th Conference on Language, Data and Knowledge : 12-15 September 2023, Vienna, Austria (pp. 256-261). NOVA CLUNL. https://doi.org/10.34619/srmk-injj
  • Open Access
    Dinh, T. A., den Boef, J., Cornelisse, J., & Groth, P. (2023). E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. In J. Wang, Y. He, T. N. Dinh, C. Grant, M. Qiu, & W. Pedrycz (Eds.), 23rd IEEE International Conference on Data Mining Workshops: 1-4 December 2023, Shanghai, China : proceedings (pp. 1084-1091). (ICDMW; Vol. 2023). IEEE Computer Society. https://doi.org/10.1109/ICDMW60847.2023.00142
  • Nevin, J., Lees, M., & Groth, P. (2022). NIDMod - Network Integration and Diffusion Modeller [Data set]. GitHub. https://github.com/jim-g-n/nidmod
  • Hulsebos, M., Demiralp, Ç., & Paul, G. (2022, May 4). GitTables 1M [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6517052
  • Groth, P., Vidal, M.-E., Suchanek, F., Szekely, P., Kapanipathi, P., Pesquita, C., Skaf-Molli, H., & Tamper, M. (Eds.) (2022). The Semantic Web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29–June 2, 2022 : proceedings. (Lecture Notes in Computer Science; Vol. 13261). Springer. https://doi.org/10.1007/978-3-031-06981-9
  • Groth, P., Rula, A., Schneider, J., Tiddi, I., Simperl, E., Alexopoulos, P., Hoekstra, R., Alam, M., Dimou, A., & Tamper, M. (Eds.) (2022). The Semantic Web: ESWC 2022 Satellite Events: Hersonissos, Crete, Greece, May 29–June 2, 2022 : proceedings. (Lecture Notes in Computer Science; Vol. 13384). Springer. https://doi.org/10.1007/978-3-031-11609-4
  • Open Access
    Harper, C. A., Daniel, R., & Groth, P. (2022). Question Answering with Additive Restrictive Training (QuAART): Question Answering for the Rapid Development of New Knowledge Extraction Pipelines. In O. Corcho, L. Hollink, O. Kutz, N. Troquard, & F. J. Ekaputra (Eds.), Knowledge Engineering and Knowledge Management: 23rd International Conference, EKAW 2022, Bolzano, Italy, September 26–29, 2022 : proceedings (pp. 51-65). (Lecture Notes in Computer Science; Vol. 13514), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-17105-5_4
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