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Methods and Tools for Automatic Construction of Ontologies from Textual Resources: A Framework for Comparison and Its Application

  • Toader GherasimEmail author
  • Mounira Harzallah
  • Giuseppe Berio
  • Pascale Kuntz
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 471)

Abstract

Over the recent years, several approaches and tools for the automatic construction of ontologies from textual resources have been proposed. This paper provides a comparative analysis of four well known approaches and related tools among existing ones. The selected approaches and related tools indeed cover all the steps of the ontology construction process. In the first part of the paper, we introduce Methontology and related task i.e. a well-known reference methodology designed for the manual construction of ontology; then, according to Methontology, we analyze and classify detailed subtasks required by those approaches. Based on this uniform classification, we provide a very detailed comparison of those approaches: we explain the main techniques and introduce tools used in the various subtasks of each approach and we highlight the main similarities and differences between the techniques used in comparable subtasks belonging to distinct approaches. In the second part of the paper, we introduce various measures for evaluating tools effectiveness wrt a manually constructed ontology. Then, we evaluate and compare the key tools supporting those approaches by using the provided measures and a specific set of textual resources.

Keywords

External Resource Pattern Learning Taxonomic Relation Automatic Construction Compound Term 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Toader Gherasim
    • 1
    Email author
  • Mounira Harzallah
    • 1
  • Giuseppe Berio
    • 2
  • Pascale Kuntz
    • 1
  1. 1.LINA, UMR 6241 CNRSNantesFrance
  2. 2.LABSTICC, UMR 6285 CNRSBrestFrance

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