Data Mining and Knowledge Engineering

K. Tamilarasi ¹, M. Ramakrishnan ²

Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Chennai, Tamilnadu, IN
2 School of Information Technology, Madurai Kamaraj University, Madurai, Tamilnadu, IN

Abstract

Web service discovery plays an integral part of today's internet and finding the relevant and expected results is a time consuming process. Users fed up with the search results when they get enormous results. Also there is chance of divergence of user behavior due to the search results which may end up in great social distraction. To address these issues, the search engines may be personalized by getting one time user information by registering their focus areas, fields of interest, age, locality and other personal information and may be used for getting relevant results during subsequent usages. This paper aims in providing a user interface for search engines to facilitate users with more personalization and accurate search results. They need to spend time only once to register them and the same can be edited or updated as the user behavior changes. This may be optional and may be used if personalization and customization is needed. Otherwise they can end up with regular results. The system has been tested with nominal number of web services and the results of response time and relevancy are promising.

Keywords

Web Service Discovery, Personalization, Customization, Search Engine, UDDI, Service Registry.

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M. Suchithra ¹, M. Ramakrishnan ²

Affiliations
1 Department of Computer Science & Engineering, Sathyabama University, Chennai, Tamil Nadu, IN
2 Department of Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, IN

Abstract

Web services are the basic construct that aims to facilitate building of business application in a more flexible and interoperable manner for enterprise collaboration. Service composition is performed to compose the various capabilities of available services. Selecting an appropriate web service is a key step in service composition process. With various services providing same functionalities around the web, the task of service selection for service composition is complicated. It is vital to provide service consumers with facilities for selecting required web services according to their non-functional characteristics or quality of service (QoS). A survey on various methods and underlying algorithms used for selecting proper web service for a request in presented in this paper.

Keywords

Web Service Selection, Service Composition, Functional Based Selection, FPA, NFPA, User Tags.

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