A Multi-criteria Approach for Automatic Ontology Recommendation Using Collective Knowledge View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

José J. Pazos Arias , Ana Fernández Vilas , Rebeca P. Díaz Redondo , Marcos Martínez-Romero , José M. Vázquez-Naya , Javier Pereira , Alejandro Pazos

ABSTRACT

Nowadays, ontologies are considered an important tool for knowledge structuring and reusing, especially in domains in which the proper organization and processing of information are critical issues (e.g. biomedicine). In these domains, the number of available ontologies has grown rapidly during the last years. This is very positive because it enables a more effective (or more intelligent) knowledge management. However, it raises a new problem: what ontology should be used for a given task? In this work, an approach for the automatic recommendation of ontologies is proposed. This approach is based on measuring the adequacy of an ontology to a given context according to three independent criteria: (i) the extent to which the ontology covers the context, (ii) the semantic richness of the ontology in the context, and (iii) the popularity of the ontology in the Web 2.0. Results show the importance of using collective knowledge in the fields of ontology evaluation and recommendation. More... »

PAGES

89-103

References to SciGraph publications

  • 2006. Ontology Selection for the Real Semantic Web: How to Cover the Queen’s Birthday Dinner? in MANAGING KNOWLEDGE IN A WORLD OF NETWORKS
  • 2009. An Approach to Comparing Different Ontologies in the Context of Hydrographical Information in INFORMATION FUSION AND GEOGRAPHIC INFORMATION SYSTEMS
  • 2010-06. Building a biomedical ontology recommender web service in JOURNAL OF BIOMEDICAL SEMANTICS
  • 2010. An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge in KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
  • 2002-10. Discretization: An Enabling Technique in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2009. Ontology Evaluation through Text Classification in ADVANCES IN WEB AND NETWORK TECHNOLOGIES, AND INFORMATION MANAGEMENT
  • 2006. Ranking Ontologies with AKTiveRank in THE SEMANTIC WEB - ISWC 2006
  • 2001-05. The Semantic Web in SCIENTIFIC AMERICAN
  • Book

    TITLE

    Recommender Systems for the Social Web

    ISBN

    978-3-642-25693-6
    978-3-642-25694-3

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-25694-3_4

    DOI

    http://dx.doi.org/10.1007/978-3-642-25694-3_4

    DIMENSIONS

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