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Socio-Political Event Extraction Using a Rule-Based Approach

  • Conference paper
Book cover On the Move to Meaningful Internet Systems: OTM 2014 Workshops (OTM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8842))

Abstract

News reports are currently one of the most studied data sources in the field of information extraction. Event descriptions that come from these sources are controversial, complementary and reflect relationships between the participating entities. The aim of the present work is to test a group of predefined patterns and rules to obtain sets of automatically filled scenario templates for socio-political events (case study: protests) and to apply clustering algorithms. At this stage the information is extracted from Russian news titles. The results of the pattern quality assessment and clustering are presented.

This work is partially financially supported by the Government of Russian Federation, Grant 074-U01 and by research work 414648 ”Development of monitoring system for socio-cultural processes in cyberspac”.

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Author information

Authors and Affiliations

  1. Autonomous University of Barcelona, Spain

    Vera Danilova

  2. ITMO University, Saint-Petersburg, Russia

    Vera Danilova & Svetlana Popova

  3. Saint-Petersburg State University, Saint-Petersburg, Russia

    Svetlana Popova

Authors
  1. Vera Danilova
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  2. Svetlana Popova
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Editor information

Editors and Affiliations

  1. TU Graz, Rechbauerstraße 12, 8010, Graz, Austria

    Robert Meersman

  2. CRAN, University of Lorraine, Campus Sciences, BP 70239, 54506, Vandoevre-les-Nancy, France

    Hervé Panetto

  3. Department of Software Engineering, Atilim Univeristy, Kızılcaşar Mh Mh, 06830, Ankara, Turkey

    Alok Mishra

  4. Facultad de Informática, Universidad de Murcia, Campus de Espinardo, 30100, Murcia, Spain

    Rafael Valencia-García

  5. Dep. of Informatics Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    António Lucas Soares

  6. SIGMA / LIG, Joseph Fourier University, 220 Rue de la Chimie, BP 53, 38041, Grenoble Cedex 9, France

    Ioana Ciuciu

  7. Institute for Research on Population and Social, National Research Council, Policies, Via Palestro 32, 00185, Rome, Italy

    Fernando Ferri

  8. Dep. Business Informatics, Communications Engineering, Johannes Kepler University, Freistaedterstrasse 315, 4040, Linz, Austria

    Georg Weichhart

  9. STINA Business Solutions GmbH, Schottenfeldgasse 63/2, 1070, Wien, Austria

    Thomas Moser

  10. SAP Research, 805 avenue du Dr Donat, 06259, Sophia-Antipolis, Mougins, France

    Michele Bezzi

  11. Department of Computing, Hong Kong Polytechnic University, PQ806, Mong Man Wai Building, Hong Kong,, China

    Henry Chan

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Danilova, V., Popova, S. (2014). Socio-Political Event Extraction Using a Rule-Based Approach. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_55

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  • DOI: https://doi.org/10.1007/978-3-662-45550-0_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45549-4

  • Online ISBN: 978-3-662-45550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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