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Extracting Knowledge Using Wikipedia Semi-structured Resources

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Natural Language Processing and Information Systems (NLDB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9612))

Abstract

Automatic knowledge discovery has been an active research field for years. Knowledge can be extracted from source files with different data structures and using different types of resources. In this paper, we propose a pattern-based approach of extraction, which exploits Wikipedia semi-structured data in order to extract the implicit knowledge behind any unstructured text. The proposed approach first identifies concepts of the studied text and then extracts their corresponding common sense and basic knowledge. We explored the effectiveness of our knowledge extraction model on city domain textual sources. The initial evaluation of the approach shows its good performance.

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Notes

  1. 1.

    Example: http://en.Wikipedia.org/w/index.php?action=raw&title=Paris.

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Authors and Affiliations

  1. Laboratoire d’Informatique de Paris-Nord, Université Paris 13, Pixalione SAS, Paris, France

    Nazanin Firoozeh

Authors
  1. Nazanin Firoozeh
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Correspondence to Nazanin Firoozeh .

Editor information

Editors and Affiliations

  1. ConservatoireNational desArts et Métiers, Paris, France

    Elisabeth Métais

  2. University of Salford, Salford, United Kingdom

    Farid Meziane

  3. University of Salford, Salford, United Kingdom

    Mohamad Saraee

  4. Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  5. University of Salford, Salford, United Kingdom

    Sunil Vadera

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© 2016 Springer International Publishing Switzerland

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Firoozeh, N. (2016). Extracting Knowledge Using Wikipedia Semi-structured Resources. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_22

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  • DOI: https://doi.org/10.1007/978-3-319-41754-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41753-0

  • Online ISBN: 978-3-319-41754-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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