• DocumentCode
    2303994
  • Title

    Querying fuzzy RDFS semantic annotations

  • Author

    Bahri, Afef ; Bouaziz, Rafik ; Gargouri, Faïez

  • Author_Institution
    MIRACL Lab., Univ. of Sfax, Sfax, Tunisia
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The Semantic Web is an infrastructure that enables the interchange, the integration and the reasoning about information on the Web. In the Semantic Web, the resources are described using particular metadata called “Semantic annotations”. A semantic annotation is a particular case of annotation which refers to ontology. The Web content is, for the most part, subject to uncertainty or imperfection. If many extensions of ontology languages have been proposed to deal with fuzzyness on the Semantic Web, the problem of fuzzy ontology querying is not well treated. We propose in this paper a fuzzy extension of the RDFS model. We propose a new query language named FSAQL to query fuzzy RDFS semantic annotations. We define the syntax and the semantics of this language and the way to evaluate it.
  • Keywords
    fuzzy reasoning; meta data; ontologies (artificial intelligence); query formulation; semantic Web; Web content; fuzzy ontology querying; metadata; ontology languages; query fuzzy RDFS semantic annotations; semantic Web; Database languages; Ontologies; Resource description framework; Semantics; Syntactics; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584136
  • Filename
    5584136