Context-Based Matching and Ranking of Web Services for Composition

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In this work, we propose a two-step, context-based semantic approach to the problem of matching and ranking Web services for possible service composition. We present an analysis of different methods for classifying Web services for possible composition and supply a context-based semantic matching method for ranking these possibilities. Semantic understanding of Web services may provide added value by identifying new possibilities for compositions of services. The semantic matching ranking approach is unique since it provides the Web service designer with an explicit numeric estimation of the extent to which a possible composition "makes sense." First, we analyze two common methods for text processing, TF/IDF and context analysis; and two types of service description, free text and WSDL. Second, we present a method for evaluating the proximity of services for possible compositions. Each Web service WSDL context descriptor is evaluated according to its proximity to other services' free text context descriptors. The methods were tested on a large repository of real-world Web services. The experimental results indicate that context analysis is more useful than TF/IDF. Furthermore, the method evaluating the proximity of the WSDL description to the textual description of other services provides high recall and precision results.
Publisher
IEEE COMPUTER SOC
Issue Date
2009-08
Language
English
Article Type
Article
Citation

IEEE TRANSACTIONS ON SERVICES COMPUTING, v.2, no.3, pp.210 - 222

ISSN
1939-1374
URI
http://hdl.handle.net/10203/99512
Appears in Collection
IE-Journal Papers(저널논문)
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