• DocumentCode
    688260
  • Title

    A Novel Semantic Web Service Discovery Scheme Using Bipartite Graph

  • Author

    Khanam, Shirin Akther ; Kyung Hwan Oh ; Woo Sik Seol ; Hee Yong Youn

  • Author_Institution
    Coll. of Inf. & Commun. Eng., SungKyunKwan Univ., Suwon, South Korea
  • fYear
    2013
  • fDate
    13-15 Nov. 2013
  • Firstpage
    1070
  • Lastpage
    1077
  • Abstract
    With the increasing adoption of Web Services and service-oriented computing paradigm, there is a growing need for efficient mechanism for Web Service discovery. The current semantic matchmaking algorithms are mainly based on the comparison of inputs and outputs of the service request and advertised service. Here reducing the service discovery time and increasing the quality of discovery are the key issues. This paper proposes a new semantic Web Service discovery scheme using bipartite graph and improved Hungarian algorithm to achieve the goal. Computer simulation reveals that the proposed scheme substantially reduces the discovery time compared to the existing scheme, while the improvement gets more significant as the size of the system increases. Moreover, the proposed scheme allows higher quality service discovery compared to the UDDI based discovery.
  • Keywords
    Web services; graph theory; semantic Web; UDDI based discovery; advertised service; bipartite graph; computer simulation; improved Hungarian algorithm; semantic Web service discovery scheme; semantic matchmaking algorithms; service discovery quality; service discovery time; service request; service-oriented computing paradigm; Algorithm design and analysis; Bipartite graph; Impedance matching; Ontologies; Semantic Web; Semantics; Web services; Bipartite graph; Hungarian algorithm; Service discovery; Similarity matrix; Web Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
  • Conference_Location
    Zhangjiajie
  • Type

    conf

  • DOI
    10.1109/HPCC.and.EUC.2013.151
  • Filename
    6832033