Ricardo Usbeck

Prof. Dr.

  1. A scalable approach for computing semantic relatedness using semantic web data

    Diefenbach, D., Usbeck, R., Singh, K. D. & Maret, P., 13.06.2016, 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016. Bellot, P., Montmain, J., Harispe, S., Trousset, F., Plantie, M., Akerkar, R., Laurent, A. & Ranwez, S. (eds.). Association for Computing Machinery, Inc, 9 p. 20. (ACM International Conference Proceeding Series; vol. 13-15-June-2016).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. An incomplete and simplifying introduction to linked data

    Jentzsch, A., Usbeck, R. & Vrandečić, D., 03.04.2014, Perspectives on Ontology Learning. Lehmann, J. & Völker, J. (eds.). IOS Press BV, Vol. 18. p. 21-34 14 p. (Studies on the Semantic Web; vol. 18).

    Research output: Contributions to collected editions/worksChapterpeer-review

  3. An Approach for Ex-Post-Facto Analysis of Knowledge Graph-Driven Chatbots – The DBpedia Chatbot

    Jalota, R., Trivedi, P., Maheshwari, G., Ngonga Ngomo, A. C. & Usbeck, R., 2020, Chatbot Research and Design: 3rd International Workshop, CONVERSATIONS 2019. Følstad, A., Araujo, T., Papadopoulos, S., Law, E.L.-C., Granmo, O.-C., Luger, E. & Brandtzaeg, P. B. (eds.). Springer, p. 19-33 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11970 LNCS).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Analyse von Mikro-Blogging-Daten: Korrelation und Visualisierung von Twitter Hashtags

    Usbeck, R., 10.2015, In: Informatik-Spektrum. 38, 5, p. 400-405 6 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  5. Published

    Analyse von Mikro-Blog-Daten

    Usbeck, R., 2013, Informatiktage 2013 - Fachwissenschaftlicher Informatik-Kongress, 22. und 23. März 2013. Gesellschaft für Informatik e.V., p. 165-168 4 p. (Lecture Notes in Informatics (LNI); vol. S12).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

  6. Analyse divergenten Nutzerverhaltens in kollaborativen Tagging-Systemen

    Usbeck, R., 2011, Informatiktage 2011 - Fachwissenschaftlicher Informatik-Kongress, 25. und 26. März 2011, B-IT Bonn-Aachen International Center for Information Technology in Bonn. Gesellschaft für Informatik e.V., p. 135-138 4 p. (Lecture Notes in Informatics (LNI) ; vol. S-10).

    Research output: Contributions to collected editions/worksChapter

  7. AmQA: Amharic Question Answering Dataset

    Abedissa, T., Usbeck, R. & Assabie, Y., 06.03.2023, (In preparation) Conference XXX. 7 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

  8. AGDISTIS - Graph-based disambiguation of named entities using linked data

    Usbeck, R., Ngomo, A. C. N., Röder, M., Gerber, D., Coelho, S. A., Auer, S. & Both, A., 01.01.2014, The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings. Tudorache, T., Knoblock, C., Groth, P., Goble, C., Welty, C., Bernstein, A., Mika, P., Vrandečić, D., Noy, N. & Janowicz, K. (eds.). Springer-Verlag Wien, p. 457-471 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8796).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  9. AGDISTIS-agnostic disambiguation of named entities using linked open data

    Usbeck, R., Ngonga Ngomo, A. C., Röder, M., Gerber, D., Athaide Coelho, S., Auer, S. & Both, A., 2014, ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. Schaub, T., Friedrich, G. & O'Sullivan, B. (eds.). IOS Press BV, p. 1113-1114 2 p. (Frontiers in Artificial Intelligence and Applications; vol. 263).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  10. A formalization of one of the main claims of “‘Dunbar’s number’ deconstructed” by Lindenfors et al. 2021

    Usbeck, R., 22.03.2022, In: Data Science. 5, 1, p. 61-64 4 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review