• DocumentCode
    3530644
  • Title

    Ontology-based semantic web services clustering

  • Author

    Xie, Ling-li ; Chen, Fu-zan ; Kou, Ji-Song

  • Author_Institution
    Sch. of Manage., Tianjin Univ., Tianjin, China
  • Volume
    Part 3
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    2075
  • Lastpage
    2079
  • Abstract
    Web service discovery is an important operation in Web service architecture, this paper aims to cluster the Web services before Web service discovery based on OWL-S language. In this paper, Web service ontology is defined. We use Web service function and progress to calculate similarity. Petri net is used to describe Web service process. The Web service similarity is based on an accurate concept semantic similarity of the domain ontology. A domain ontology hierarchy is defined to describe the concept semantic information. The concept semantic similarity is discussed from several aspects, such as the path between two concepts, the path weight, the density of concepts, and the antisense relationship. Finally, we use the Web service similarity to cluster services, and prove the similarity efficiency.
  • Keywords
    Web services; knowledge representation languages; ontologies (artificial intelligence); pattern clustering; semantic Web; OWL-S language; Web service architecture; Web service discovery; concept semantic similarity; domain ontology hierarchy; ontology-based semantic Web services clustering; Algorithm design and analysis; Clustering algorithms; Ontologies; Process control; Semantic Web; Semantics; Web services; Ontology; Web service; Web service clustering; Web service similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035578
  • Filename
    6035578