• DocumentCode
    2918085
  • Title

    Research on Ontology Matching Method Based on Description Logics Reasoning Mechanism

  • Author

    Yang, Qing ; Zhu, Li ; Chen, Wei

  • Author_Institution
    Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    Nowadays the utility of domain ontologies is widely acknowledged in many area, such as information systems, software engineer, nature language processing, artificial intelligence, electronic commerce and so on. Ontologies are enable to fulfill knowledge appearance, information retrieval and search. However, there still exists several drawbacks that must be resolved before ontologies become practical and useful tools. A critical issue is the ontology mapping. This matching process will directly influence the precision and recall of information retrieval among several different ontologies. In this paper, we propose an approach of ontology matching and an ontology matching algorithm based on description logic system through analyzing the characteristic of description logics, including definitions of syntax, semantics and basic reasoning services, and finally demonstrate the practicality of this ontology matching method between two concrete Book-System ontologies.
  • Keywords
    formal logic; inference mechanisms; information retrieval; ontologies (artificial intelligence); book-system ontologies; description logic; information retrieval; information search; ontology matching; reasoning mechanism; Algorithm design and analysis; Artificial intelligence; Concrete; Electronic commerce; Information retrieval; Information systems; Logic; Ontologies; Software systems; Systems engineering and theory; description logics; ontology; reasoning; semantic matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.50
  • Filename
    5369471