A data mining based method for discovery of web services and their compositions

Nayak, Richi & Bose, Aishwarya (2014) A data mining based method for discovery of web services and their compositions. In Abou-Nasr, Mahmoud, Lessmann, Stefan, Stahlbock, Robert, & Weiss, Gary M. (Eds.) Real World Data Mining Applications. Springer International Publishing, Switzerland, pp. 325-342.

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Due to the availability of huge number of web services, finding an appropriate Web service according to the requirements of a service consumer is still a challenge. Moreover, sometimes a single web service is unable to fully satisfy the requirements of the service consumer. In such cases, combinations of multiple inter-related web services can be utilised. This paper proposes a method that first utilises a semantic kernel model to find related services and then models these related Web services as nodes of a graph. An all-pair shortest-path algorithm is applied to find the best compositions of Web services that are semantically related to the service consumer requirement. The recommendation of individual and composite Web services composition for a service request is finally made. Empirical evaluation confirms that the proposed method significantly improves the accuracy of service discovery in comparison to traditional keyword-based discovery methods.

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ID Code: 80065
Item Type: Book Chapter
Keywords: Data mining, Semantic kernel model
DOI: 10.1007/978-3-319-07812-0_16
ISBN: 9783319078113
ISSN: 1934-3221
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 by Springer International Publishing Switzerland
Deposited On: 14 Jan 2015 01:23
Last Modified: 15 Jan 2016 15:08

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