An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Marcos Martínez Romero , José M. Vázquez -Naya , Cristian R. Munteanu , Javier Pereira , Alejandro Pazos

ABSTRACT

In recent years, ontologies have become an essential tool to structure and reuse the exponential growth of information in the Web. As the number of publicly available ontologies increases, researchers face the problem of finding the ontology (or ontologies) which provides the best coverage for a particular context. In this paper, we propose an approach to automatically recommend the best ontology for an initial set of terms. The approach is based on measuring the adequacy of the ontology according to three different criteria: (1) How well the ontology covers the given terms, (2) the semantic richness of the ontology and, importantly, (3) the popularity of the ontology in the Web 2.0. In order to evaluate this approach, we implemented a prototype to recommend ontologies in the biomedical domain. Results show the importance of using collaborative knowledge in the field of ontology recommendation. More... »

PAGES

74-81

References to SciGraph publications

  • 2009. An Approach to Comparing Different Ontologies in the Context of Hydrographical Information in INFORMATION FUSION AND GEOGRAPHIC INFORMATION SYSTEMS
  • 2005. Finding and Ranking Knowledge on the Semantic Web in THE SEMANTIC WEB – ISWC 2005
  • 2004. Ontological Engineering in NONE
  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • 2009. Ontology Evaluation through Text Classification in ADVANCES IN WEB AND NETWORK TECHNOLOGIES, AND INFORMATION MANAGEMENT
  • Book

    TITLE

    Knowledge-Based and Intelligent Information and Engineering Systems

    ISBN

    978-3-642-15389-1
    978-3-642-15390-7

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-15390-7_8

    DOI

    http://dx.doi.org/10.1007/978-3-642-15390-7_8

    DIMENSIONS

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