Extracting Violent Events From On-Line News for Ontology Population

  • Jakub Piskorski
  • Hristo Tanev
  • Pinar Oezden Wennerberg
Conference paper

DOI: 10.1007/978-3-540-72035-5_22

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4439)
Cite this paper as:
Piskorski J., Tanev H., Oezden Wennerberg P. (2007) Extracting Violent Events From On-Line News for Ontology Population. In: Abramowicz W. (eds) Business Information Systems. BIS 2007. Lecture Notes in Computer Science, vol 4439. Springer, Berlin, Heidelberg

Abstract

This paper presents nexus, an event extraction system, developed at the Joint Research Center of the European Commission utilized for populating violent incident knowledge bases. It automatically extracts security-related facts from on-line news articles. In particular, the paper focuses on a novel bootstrapping algorithm for weakly supervised acquisition of extraction patterns from clustered news, cluster-level information fusion and pattern specification language. Finally, a preliminary evaluation of nexus on real-world data is given which revealed acceptable precision and a strong application potential.

Keywords

ontology population event extraction machine learning  security informatics 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Jakub Piskorski
    • 1
  • Hristo Tanev
    • 1
  • Pinar Oezden Wennerberg
    • 1
  1. 1.Joint Research Center of the European Commission, Web and Language Technology Group of IPSC, T.P. 267, Via Fermi 1, 21020 Ispra (VA)Italy

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