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

Dunlu Peng (), Xiaoling Wang () and Aoying Zhou ()
Additional contact information
Dunlu Peng: University of Shanghai for Science and Technology
Xiaoling Wang: Fudan University
Aoying Zhou: Fudan University

Information Systems Frontiers, 2007, vol. 9, issue 4, No 8, 423-437

Abstract: 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.

Keywords: Web service; Information retrieval; Conceptual index structure; Formal concept analysis; XML web service (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-007-9044-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:9:y:2007:i:4:d:10.1007_s10796-007-9044-5

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-007-9044-5

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().