A Fuzzy-Based Approach for Representing and Reasoning on Imprecise Time Intervals in Fuzzy-OWL 2 Ontology View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-05-22

AUTHORS

Fatma Ghorbel , Fayçal Hamdi , Elisabeth Métais , Nebrasse Ellouze , Faiez Gargouri

ABSTRACT

Representing and reasoning on imprecise temporal information is a common requirement in the field of Semantic Web. Many works exist to represent and reason on precise temporal information in OWL; however, to the best of our knowledge, none of these works is devoted to represent and reason on imprecise time intervals. To address this problem, we propose a fuzzy-based approach for representing and reasoning on imprecise time intervals in ontology. Our approach is based on fuzzy sets theory and fuzzy tools and is modeled in Fuzzy-OWL 2. The 4D-fluents approach is extended, with new fuzzy components, in order to represent imprecise time intervals and qualitative fuzzy interval relations. The Allen’s interval algebra is extended in order to compare imprecise time intervals in a fuzzy gradual personalized way. Inferences are done via a set of Mamdani IF-THEN rules. More... »

PAGES

167-178

References to SciGraph publications

  • 2000-06. A survey of temporal extensions of description logics in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2015. PersonLink: An Ontology Representing Family Relationships for the CAPTAIN MEMO Memory Prosthesis in ADVANCES IN CONCEPTUAL MODELING
  • 2003. A Fuzzy Model for Representing Uncertain, Subjective, and Vague Temporal Knowledge in Ontologies in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2003: COOPIS, DOA, AND ODBASE
  • Book

    TITLE

    Natural Language Processing and Information Systems

    ISBN

    978-3-319-91946-1
    978-3-319-91947-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-91947-8_17

    DOI

    http://dx.doi.org/10.1007/978-3-319-91947-8_17

    DIMENSIONS

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