An Ontology Evolution-Based Framework for Semantic Information Retrieval View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Miguel Ángel Rodríguez-García , Rafael Valencia-García , Francisco García-Sánchez

ABSTRACT

Ontologies evolve continuously during their life cycle to adapt to new requirements and necessities. Ontology-based information retrieval systems use semantic annotations that are also regularly updated to reflect new points of view. In order to provide a general solution and to minimize the users’ effort in the ontology enriching process, a methodology for extracting terms and evolve the domain ontology from Wikipedia is proposed in this work. The framework presented here combines an ontology-based information retrieval system with an ontology evolution approach in such a way that it simplifies the tasks of updating concepts and relations in domain ontologies. This framework has been validated in a scenario where ICT-related cloud services matching the user needs are to be found. More... »

PAGES

163-172

References to SciGraph publications

  • 2005. Consistent Evolution of OWL Ontologies in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • 2002. KAON — Towards a Large Scale Semantic Web in E-COMMERCE AND WEB TECHNOLOGIES
  • 2002-03-15. The C-value/NC-value Method of Automatic Recognition for Multi-word Terms in RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES
  • Book

    TITLE

    On the Move to Meaningful Internet Systems: OTM 2012 Workshops

    ISBN

    978-3-642-33617-1
    978-3-642-33618-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-33618-8_25

    DOI

    http://dx.doi.org/10.1007/978-3-642-33618-8_25

    DIMENSIONS

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