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An empirical approach for semantic Web services discovery

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Open access
Authors
Wu, Chen
Chang, Elizabeth
Aitken, Ashley
Date
2008
Type
Conference Paper

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Citation
Wu, Chen and Chang, Elizabeth and Aitken, Ashley. 2008. An empirical approach for semantic Web services discovery, in Hussain, F. and Chang, E. (ed), 19th Australian Software Engineering Conference (ASWEC 2008), Mar 25 2008, pp. 412-421. Perth, Australia: Institute of Electrical and Electronics Engineers (IEEE) Computer Society.
Source Title
Proceedings of the 19th Australian software engineering conference (ASWEC 2008)
Source Conference
19th Australian Software Engineering Conference (ASWEC 2008)
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Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
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Abstract

Component retrieval/discovery is a well-established research direction in Software Engineering. With the surge of Service-Oriented Architecture (SOA), service discovery has become increasingly crucial. However, the public UDDI Business Registry the primary service discovery mechanism over the Internet has been shut down permanently since 2006. Moreover, keyword-based service discovery is insufficient in coping with complex discovery requirements posed by modern software developers. In this paper, we propose an empirical semantic based Web service discovery approach. It provides an automatic Web service discovery mechanism that can locate relevant Web services based on concepts rather than keywords. The major contribution of this paper is three fold. First we articulate three requirements that software developers often raise during the component/service development and discovery process. Next, we propose the application of Latent Semantic Analysis into the area of Web services discovery. To our best knowledge, little work has been done in this area which leverages concept-based Information Retrieval models in service discovery. Last, we provide a proof-of-concept system prototype that can suffice three specific requirements of semantic service discovery.