Title: Extracting Violent Events from On-line News for Ontology Population
Authors: PISKORSKI JAKUBTANEV HRISTOOEZDEN Pinar
Citation: Proceedings of the 10th International Conference Business Information Systems 2007 vol. 4439 p. 287-300
Publisher: Springer
Publication Year: 2007
JRC Publication N°: JRC36540
URI: http://www.springerlink.com/content/h48610025603/; http://www.springerlink.com/content/yj4018524j3q0656/?p=7137a0df574f4fe2a8c3e47a9491e4f3&pi=21
http://publications.jrc.ec.europa.eu/repository/handle/JRC36540
DOI: 10.1007/978-3-540-72035-5
Type: Contributions to Conferences
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.
JRC Institute:Institute for the Protection and Security of the Citizen

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