Web Service Discovery with additional Semantics and Clustering

Due to the lack of semantic descriptions of the Web services, the search results returned by the service registries are effectively inadequate. This paper presents the Semantic Web services Clustering (SWSC) method that extends the semantic representation of services and groups the similar Web servi...

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Bibliographic Details
Published inProceedings of the IEEE/WIC/ACM International Conference on Web Intelligence pp. 555 - 558
Main Authors Nayak, Richi, Lee, Bryan
Format Conference Proceeding
LanguageEnglish
Published Washington, DC, USA IEEE Computer Society 02.11.2007
SeriesACM Conferences
Subjects
Computing methodologies > Machine learning > Learning paradigms > Unsupervised learning > Cluster analysis
Information systems > Information retrieval
Information systems > Information retrieval > Evaluation of retrieval results
Information systems > World Wide Web > Web applications
Information systems > World Wide Web > Web services
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ISBN0769530265
9780769530260
DOI10.1109/WI.2007.112

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Summary:Due to the lack of semantic descriptions of the Web services, the search results returned by the service registries are effectively inadequate. This paper presents the Semantic Web services Clustering (SWSC) method that extends the semantic representation of services and groups the similar Web services in order to improve the service discovery. The empirical analysis shows the improvement in service discovery with the use of SWSC.
ISBN:0769530265
9780769530260
DOI:10.1109/WI.2007.112