WebOMSIE: An Ontology-Based Multi Source Web Information Extraction

  • Zineb Younsi
  • Mohamed Quafafou
  • Redouane Ouzegane
  • Abdelkamel Tari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 185)

Abstract

The Web contains a huge volume of information supplied by diverse sources such as e-commerce sites, electronic directories, search engines, etc. The difficulty of the task of automating information extraction from these sources lives on the fact that these last ones were conceived for a human access (manual navigation). This difficulty is increased as the number of sources in question increases. In this paper, we are interested in the problem of EI, from several sources. The first approach to resolve this problem consists in suggesting a new method of EI and applying it to the various sources. This approach is not very successful and it is difficult to implement, especially when the sources are very heterogeneous. Therefore, We propose a more effective alternative, allowing us to benefit from already existing methods and tools, by applying to every source, the tool which suits most. For that purpose, we exploit domain ontology to deduct the tool adequate to every source. In this paper, we present the WebOMSIE system, an ontology-based framework of multi source information extraction from the Web.

Keywords

Information extraction WETDL ontology knowledge base reasoner descriptive logic 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Zineb Younsi
    • 1
  • Mohamed Quafafou
    • 2
  • Redouane Ouzegane
    • 1
  • Abdelkamel Tari
    • 1
  1. 1.Bejaia UniversityBejaiaAlgeria
  2. 2.Marseille University FranceSaint Jórome MarseilleFrance

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