• DocumentCode
    495646
  • Title

    The Extensions of OWL on Properties Exclusion and the Corresponding Semantic Parser

  • Author

    Tang, Yazhe ; Wang, Dan ; Huang, Fengfan ; Chang, Heng

  • Author_Institution
    Dept. of Comput. Sci., Xi´´an Jiaotong Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    492
  • Lastpage
    496
  • Abstract
    Ontology Web Language (OWL) is an ontology description language for the semantic Web. It is known for its capabilities of representing knowledge and knowledge-based reasoning. OWL has been increasingly used for modeling the entities in pervasive computing environment. However, OWL gives no specific support for exclusive relations between properties owned by subjects, which bring inconvenience for using it on semantic expressing and reasoning. In this paper, a new method to support exclusive properties is presented, which extends OWL by adding a new construct. The formal definitions of the grammar and semantic for the proposed construct are given based on description logics. In addition, a corresponding semantic parser is implemented by defining a rule set over Jena. Case study in pervasive computing shows that the construct works well.
  • Keywords
    Internet; Java; formal specification; grammars; inference mechanisms; knowledge based systems; knowledge representation languages; ontologies (artificial intelligence); semantic Web; Java framework; Jena framework; OWL reasoning; description logic; formal definition; knowledge-based reasoning; ontology Web language; ontology description language; pervasive computing; semantic Web; semantic parser; Computer networks; Computer science; Load modeling; Logic; Mobile computing; OWL; Ontologies; Pervasive computing; Resource description framework; Semantic Web; Construct; OWL Extensions; Rules; Semantic Parse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.734
  • Filename
    5171219