• DocumentCode
    2306376
  • Title

    OWL-FC Ontology Web Language for fuzzy control

  • Author

    Loia, V. ; De Maio, C. ; Fenza, G. ; Senatore, S.

  • Author_Institution
    Dept. of Math. & Inf., Univ. of Salerno, Fisciano, Italy
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The current “semantic” generation of Web strongly lies in sharing knowledge rather than linkages among digital resources. The Semantic Web represents an effective infrastructure based on ontologies, languages and tools to enhance visibility of knowledge on the net. The imprecise nature of knowledge often requires fuzzy techniques to coherently represent the imprecise and uncertain information of the real world. It is indubitable that many decision making problems within business, industrial and web applications are solved by fuzzy approaches, especially by exploiting fuzzy control. In order to integrate fuzzy knowledge in the Semantic Web, appropriate formal schemas are introduced for describing fuzzy data types and uncertainty information. In particular, this paper presents an OWL-based upper ontology, called OWL-FC (Ontology Web Language for Fuzzy Control) which provides a set of ontological constructs for defining semantic specification of Fuzzy Control. The OWL-FC ontology represents a straightforward contribute to support automation in discovery, usage and interoperability among a large number of fuzzy controls; built-in markups for the fuzzy controls enable the natural integration in description logics-based reasoners and guarantee the specification of fuzzy concepts which do not depend on the application domain.
  • Keywords
    formal specification; fuzzy control; fuzzy reasoning; ontologies (artificial intelligence); semantic Web; OWL-FC language; fuzzy concept specification; fuzzy control; fuzzy knowledge; ontology Web language; semantic Web; Fuzzy control; Grounding; Ontologies; Process control; Semantic Web; Semantics; Uncertainty;
  • 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.2010.5584268
  • Filename
    5584268