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International Semantic Web Conference

ISWC 2019: The Semantic Web – ISWC 2019 pp 382–399Cite as

VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11779))

Abstract

We present an online multilingual system for event detection and comprehension from media feeds. The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in order to answer the journalism Ws: who, what, when and where. The generated events populate VLX-Stories -an event ontology- transforming unstructured text data to a structured knowledge base representation. Our system exploits an external entity Knowledge Graph (VKG) to help populate VLX-Stories. At the same time, this external knowledge graph can also be extended with a Dynamic Entity Linking (DEL) module, which detects emerging entities (EE) on unstructured data. The system is currently deployed in production and used by media producers in the editorial process, providing real-time access to breaking news. Each month, VLX-Stories detects over 9000 events from over 4000 news feeds from seven different countries and in three different languages. At the same time, it detects over 1300 EE per month, which populate VKG.

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Notes

  1. 1.

    http://news.google.com.

  2. 2.

    http://news.yahoo.com.

  3. 3.

    https://www.vilynx.com.

  4. 4.

    https://spacy.io/.

  5. 5.

    https://schema.org/.

  6. 6.

    https://spacy.io/usage/facts-figures.

  7. 7.

    https://www.icews.com/.

  8. 8.

    https://www.gdeltproject.org/.

  9. 9.

    https://dataverse.harvard.edu/dataverse/icews.

  10. 10.

    http://openeventdata.org/.

  11. 11.

    http://www.newsreader-project.eu/.

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Acknowledgments

Dèlia Fernàndez-Cañellas is funded by contract 2017-DI-011 of the Industrial Doctorate Program of the Government of Catalonia.

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Authors and Affiliations

  1. Vilynx, Inc., Barcelona, Spain

    Dèlia Fernàndez-Cañellas, Joan Espadaler, David Rodriguez, Blai Garolera, Gemma Canet, Aleix Colom, Joan Marco Rimmek, Elisenda Bou & Juan Carlos Riveiro

  2. Universitat Politecnica de Catalunya (UPC), Barcelona, Spain

    Dèlia Fernàndez-Cañellas & Xavier Giro-i-Nieto

Authors
  1. Dèlia Fernàndez-Cañellas
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  2. Joan Espadaler
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Correspondence to Dèlia Fernàndez-Cañellas .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

  2. Linköping University, Linköping, Sweden

    Olaf Hartig

  3. University of Bonn, Bonn, Germany

    Maria Maleshkova

  4. University of Economics Prague, Prague, Czech Republic

    Vojtěch Svátek

  5. University of Illinois at Chicago, Chicago, IL, USA

    Isabel Cruz

  6. University of Chile, Santiago, Chile

    Aidan Hogan

  7. Memect Technology, Beijing, China

    Jie Song

  8. Mines Saint-Etienne, Saint-Etienne, France

    Maxime Lefrançois

  9. Inria Sophia Antipolis - Méditerranée, Sophia Antipolis, France

    Fabien Gandon

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Fernàndez-Cañellas, D. et al. (2019). VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection. In: Ghidini, C., et al. The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science(), vol 11779. Springer, Cham. https://doi.org/10.1007/978-3-030-30796-7_24

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  • DOI: https://doi.org/10.1007/978-3-030-30796-7_24

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