A Semantic Role-Based Approach for Ontology Learning from Spanish Texts View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

José Luis Ochoa , Maria Luisa Hernández-Alcaraz , Rafael Valencia-García , Rodrigo Martínez-Béjar

ABSTRACT

The Semantic Web can be defined as an extension of the current Web in which information is provided with well-defined meaning, so that computers and people are able to work in a cooperative fashion. Ontologies are the de facto knowledge representation methodology in the Semantic Web. Ontology learning from Web documents is considered to be an important activity to promote the Semantic Web. In this paper, an automatic method for acquiring knowledge from Spanish texts is described. The approach presented here is based on semantic roles, which have been employed in our research for extracting semantic relations between concepts. The method makes it possible to represent multiple semantic relations. A set of experiments have been performed with this approach in the oncology domain that show promising results. More... »

PAGES

273-280

References to SciGraph publications

  • 2010. Discovery of Relation Axioms from the Web in KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT
  • 2006. Semi-automatic Construction of Topic Ontologies in SEMANTICS, WEB AND MINING
  • 2008. Learning Medical Ontologies from the Web in KNOWLEDGE MANAGEMENT FOR HEALTH CARE PROCEDURES
  • 2009. An Improved Automatic Term Recognition Method for Spanish in COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING
  • 1994. Explorations in Automatic Thesaurus Discovery in NONE
  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • Book

    TITLE

    International Symposium on Distributed Computing and Artificial Intelligence

    ISBN

    978-3-642-19933-2
    978-3-642-19934-9

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-19934-9_35

    DOI

    http://dx.doi.org/10.1007/978-3-642-19934-9_35

    DIMENSIONS

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