Abstract
Presently, the service discovery is the process of discovering one or more documents that describe in a particular service. Most of the service discovery mechanisms perform syntactic matching. That means it supports the key word based search. This often leads to poor service discovery result. Another drawback of the existing service discovery mechanism is that the query service matching score is calculated and taking an account only the keywords from the user query's and the terms is the service descriptions. The keyword based service discovery mechanism supported by Universal Description Discovery and Integration (UDDI) and most of the existing service search engines like Yahoo and Google suffer from keyword based search. Firstly it is difficult for the user to obtain the desired services because the number of the retrieved services with respect to the keywords may be huge. Secondly, keywords are insufficient in expressing the semantic concepts and semantically different concepts could possess identical representation (homonyms), which will further low accuracy. This warrants the need to establish an effective and reliable process of web service discovery. This research has emerged to develop methods and model to improve the accuracy of the best web service discovery to match the best service. This paper presents a survey of web service discovery systems, focusing on systems that support either semantics based or syntactic based approach.
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