Towards an automatic fuzzy ontology generation

  • Authors:
  • Carmen De Maio;Giuseppe Fenza;Vincenzo Loia;Sabrina Senatore

  • Affiliations:
  • Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy;Dipartimento di Matematica e Informatica, Università degli Studi di Salerno, Fisciano, SA, Italy

  • Venue:
  • FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
  • Year:
  • 2009

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Abstract

In recent years, the success of Semantic Web is strongly related to the diffusion of numerous distributed ontologies enabling shared machine readable contents. Ontologies vary in size, semantic, application domain, but often do not foresee the representation and manipulation of uncertain information. Here we describe an approach for automatic fuzzy ontology elicitation by the analysis of web resources collection. The approach exploits a fuzzy extension of Formal Concept Analysis theory and defines a methodological process to generate an OWL-based representation of concepts, properties and individuals. A simple case study in the Web domain validates the applicability and the flexibility of this approach.