VsLattice: A vector-based conceptual index structure for web service retrieval

  • Authors:

  • Dunlu Peng;Xiaoling Wang;Aoying Zhou

  • Affiliations:

  • School of Electrical and Computing Engineering, University of Shanghai for Science and Technology, Shanghai, China 200093;Department of Computer Science and Engineering, Fudan University, Shanghai, China 200433;Department of Computer Science and Engineering, Fudan University, Shanghai, China 200433

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2007

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Abstract

With the rising adoption of web services, effective management of web services becomes a critical issue in making the paradigm of service-oriented computing more practical. In this paper, a novel structure, called Vector-based service Lattice ( VsLattice), is devised to index web services in a semantic way. Each web service is modeled as a group of Service Operation Vectors (SOVs) in the vector space, and each SOV represents an operation provided by the service. The web services, SOVs and the relationship between web services and SOVs form the Conceptual Indexing Context (CIC) of a given service collection. In the CIC, web services that provide similar operations (functions) are conceptually indexed by the same Operation Vector Concepts (OVCs). The underlying relationships among the OVCs are captured with the VsLattice, which is constructed by adopting the traditional concept lattice in a CIC. By taking advantage of the information obtained from the VsLattice, a new representation of SOV is devised. Based on this representation, a novel service retrieval model and the implemental system are developed to retrieve web services efficiently. The performance and retrieving quality of the proposed approach has been evaluated through a series of experiments.