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An Approach for Ontology Building from Text Supported by NLP Techniques

  • Rafael Valencia-García
  • Dagoberto Castellanos Nieves
  • Pedro José Vivancos Vicente
  • Jesualdo Tomás Fernández Breis
  • Rodrigo Martínez-Béjar
  • Francisco García Sánchez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3040)

Abstract

In this work, we present an approach to simplify Knowledge Acquisition Processes (KAPs) by means of extracting knowledge directly from natural language texts. The ultimate goal is to acquire knowledge straight from experts’ language. This approach uses a morphologic analyzer to improve the setting-in-a-context between knowledge elements (e.g., concepts and attributes). Another objective is achieving language independency. Here, the knowledge acquired from texts is represented by means of ontologies.

Keywords

Knowledge Acquisition Search Phase Knowledge Element Taxonomic Relation Text Fragment 
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 2004

Authors and Affiliations

  • Rafael Valencia-García
    • 1
  • Dagoberto Castellanos Nieves
    • 2
  • Pedro José Vivancos Vicente
    • 1
  • Jesualdo Tomás Fernández Breis
    • 3
  • Rodrigo Martínez-Béjar
    • 1
  • Francisco García Sánchez
    • 1
  1. 1.Departamento de Ingeniería de la Información y las ComunicacionesUniversidad de MurciaMurciaSpain
  2. 2.Facultad de Informática y MatemáticaUniversidad de HolguínHolguínCuba
  3. 3.Departamento de Informática y Sistemas, Facultad de InformáticaUniversidad de MurciaMurciaSpain

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