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Results: 121
Number of items: 121
  • Open Access
    Shroff, N., Vandenbussche, P.-Y., Moore, V., & Groth, P. (2021). Supporting ontology maintenance with contextual word embeddings and maximum mean discrepancy. In S. Ben Abbès, R. Hantach, P. Calvez, D. Buscaldi, D. Dessì, M. Dragoni, D. Reforgiato Recupero, & H. Sack (Eds.), Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021): co-located with co-located with 18th Extended Semantic Web Conference 2021 : Hersonissos, Greece, June 6th - 7th, 2021 (moved online) (pp. 11-19). (CEUR Workshop Proceedings; Vol. 2918). CEUR-WS. http://ceur-ws.org/Vol-2918/paper2.pdf
  • Open Access
    Alam, M., Groth, P., de Boer, V., Pellegrini, T., Pandit, H. J., Montiel, E., Rodríguez Doncel, V., McGillivray, B., & Meroño-Peñuela, A. (Eds.) (2021). Further with Knowledge Graphs: proceedings of the 17th International Conference on Semantic Systems, 6-9 September 2021, Amsterdam, The Netherlands. (Studies on the Semantic Web; Vol. 53). IOS Press. https://doi.org/10.3233/SSW53
  • Open Access
    Hendriks, B., Groth, P., & van Erp, M. (2021). Recognizing and Linking Entities in Old Dutch Text: A Case Study on VOC Notary Records. In A. Weber, M. Heerlien, E. Gassó Miracle, & K. Wolstencroft (Eds.), Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age: Leiden, the Netherlands, November 23-24, 2020 (pp. 25-36). (CEUR Workshop Proceedings; Vol. 2810). CEUR-WS. http://ceur-ws.org/Vol-2810/paper3.pdf
  • Brate, R., Groth, P., & van Erp, M. (2020). Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4199996
  • Koesten, L., Vougiouklis, P., Groth, P., & Simperl, E. (2020). Dataset Reuse Indicators Datasets [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4015955
  • Bos, H., Groth, P., & Stamatogiannakis, M. (2020). PANDAcap SSH Honeypot Dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3759652
  • Open Access
    Gregory, K. M., Cousijn, H., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Understanding data search as a socio-technical practice. Journal of Information Science, 46(4), 459-475. https://doi.org/10.1177/0165551519837182
  • Open Access
    Groth, P., & Dumontier, M. (2020). Introduction – FAIR data, systems and analysis. Data Science, 3(1-2), 1–2. https://doi.org/10.3233/DS-200029
  • Open Access
    Blomqvist, E., Groth, P., de Boer, V., Pellegrini, T., Alam, M., Käfer, T., Kieseberg, P., Kirrane, S., Meroño-Peñuela, A., & Pandit, H. J. (Eds.) (2020). Semantic Systems : In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7-10, 2020 : proceedings. (Lecture Notes in Computer Science; Vol. 12378). Springer. https://doi.org/10.1007/978-3-030-59833-4
  • Open Access
    Gregory, K., Groth, P., Scharnhorst, A., & Wyatt, S. (2020). Lost or Found? Discovering Data Needed for Research. Harvard Data Science Review, 2(2.2). https://doi.org/10.1162/99608f92.e38165eb
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