26-08-2014, 02:02 PM
Web
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Abstract
The internet is available important data or content .which are available different servers or location on the data base but big problem search of content of source .this paper is combine two method rough set and fuzzy set which optimize the web search page according to t web usage and web domain knowledge with help fuzzy set algorithm . Fuzzy set is support less data of boundaries, fuzzy set s will select the middle source according to web usage and web domain knowledge .web domain is used number effect query on the knowledge base.
2 Tools/Software Used for Implementation
Front end:-Microsoft expression web, html, css, php
Back end:-Wamp server, mysql
There two approach have used. Semantic enhanced approach and traditional approach with sequence model. Semantic enhanced approaches integrate similar information into web page recommendations by web ontology of web site .traditional approaches is show the tree base result and particular pre order web tree mining .
4 Proposed works
There is implement fuzzy algorithm to search the web page content according to domain knowledge and usage page. Vector is store all usage web page and domain knowledge .this project is optimize query and less cost.
5 Advantage
1 It saves the time of user spending on web search
2 query optimization and scalable
3 it have record of all web page viewer