Web Services Discovery with Rough Sets
Author(s) -
Maozhen Li,
Bin Yu,
Vijay Sahota,
Man Qi
Publication year - 2009
Publication title -
international journal of web services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.196
H-Index - 27
eISSN - 1546-5004
pISSN - 1545-7362
DOI - 10.4018/jswr.2009092104
Subject(s) - computer science , web service , service discovery , world wide web , ws policy , salient , service (business) , the internet , matching (statistics) , knowledge extraction , data mining , web development , web application security , business , artificial intelligence , statistics , mathematics , marketing
Web services are emerging as a major technology for building service-oriented distributed systems. Potentially, various resources on the Internet can be virtualized as Web services for a wider use by their communities. Service discovery becomes an issue of vital importance for Web services applications. This article presents ROSSE, a Rough Sets based Search Engine for Web service discovery. One salient feature of ROSSE lies in its capability to deal with uncertainty of service properties when matching services. A use case is presented to demonstrate the use of ROSSE for discovery of car services. ROSSE is evaluated in terms of its accuracy and efficiency in service discovery.
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