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Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages

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The Semantic Web: ESWC 2021 Satellite Events (ESWC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12739))

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Abstract

Identifying news events and relating current news to past events or already identified ones is an open challenge for news agencies. In this paper, I propose a study to identify events from semantic RDF graph representations of real-time and big data streams of news and pre-news. The proposed solution must provide acceptable accuracy over time and consider the requirements of incremental clustering, big data and real-time streams. To design a solution for identifying events, I want to study which clustering approaches are best for this purpose including methods for clustering RDF graphs using machine learning and “classical” algorithmic approaches. I also present three different evaluation approaches.

Supported by the News Angler project funded by the Norwegian Research Council’s IKTPLUSS programme as project 275872.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/Portal:Current_events.

  2. 2.

    https://newsapi.org.

  3. 3.

    https://en.wikipedia.org/wiki/Wikipedia:How_the_Current_events_page_works.

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Acknowledgements

Thesis supervised by Prof. Andreas L. Opdahl and co-supervised by Bjørnar Tessem.

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Authors and Affiliations

  1. University of Bergen, Bergen, Norway

    Marc Gallofré Ocaña

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  1. Marc Gallofré Ocaña
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Correspondence to Marc Gallofré Ocaña .

Editor information

Editors and Affiliations

  1. IMEC, Ghent University, Ghent, Belgium

    Ruben Verborgh

  2. Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

    Anastasia Dimou

  3. University of Chile, Santiago, Chile

    Aidan Hogan

  4. Università degli Studi di Bari, Bari, Italy

    Claudia d'Amato

  5. Faculty of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Ilaria Tiddi

  6. Corporate Technology, Siemens Aktiengesellschaft, München, Bayern, Germany

    Arne Bröring

  7. University of St. Gallen, St. Gallen, St. Gallen, Switzerland

    Simon Mayer

  8. Ghent University, Ghent, Belgium

    Femke Ongenae

  9. Institute of Computer Science, University of Tartu, Tartu, Estonia

    Riccardo Tommasini

  10. Information Infrastructure, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Karlsruhe, Germany

    Mehwish Alam

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Gallofré Ocaña, M. (2021). Identifying Events from Streams of RDF-Graphs Representing News and Social Media Messages. In: Verborgh, R., et al. The Semantic Web: ESWC 2021 Satellite Events. ESWC 2021. Lecture Notes in Computer Science(), vol 12739. Springer, Cham. https://doi.org/10.1007/978-3-030-80418-3_31

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  • DOI: https://doi.org/10.1007/978-3-030-80418-3_31

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  • Online ISBN: 978-3-030-80418-3

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