• DocumentCode
    2879064
  • Title

    Improving reasoning capability for ontology-based geometric product model

  • Author

    Wang, Qingmai ; Yu, Xinghuo

  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    3048
  • Lastpage
    3053
  • Abstract
    Ontology-based approaches have been widely introduced to enable semantic interoperability and reasoning over product information models. Most of the existing systems focus on how to build an ontology and how to map product information to the ontology. The reasoning issues are rarely discussed. General ontology reasoners are directly used without any comparison or evaluation. In fact, most of the existing ontology reasoners are developed for general purposes in the Semantic Web (SW). They have limitations when they are applied to Product Design and Manufacturing (PDM). This paper discusses key issues of reasoning over ontology based product information model and proposes an efficient Geometric Ontology Query Reasoner (GOQR) which provides satisfactory ABox query reasoning for geometric product model.
  • Keywords
    ontologies (artificial intelligence); open systems; product design; production engineering computing; semantic Web; ABox query reasoning; GOQR; PDM; SW; Semantic Web; geometric ontology query reasoner; ontology based geometric product model; product design and manufacturing; product information; product information models; reasoning capability improvement; semantic interoperability; semantic reasoning; Cognition; Educational institutions; Engines; Face; Geometry; OWL; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119796
  • Filename
    6119796