Investigation and Analysis of New Approach of Intelligent Semantic Web Search Engines
Ritu Khatri1, Kanwalvir Singh Dhindsa2, Vishal Khatri3

1Ms. Ritu Khatri Assistant Prof in BPIT, Rohini.
2Mr. Kanwalvir Singh Dhindsa, Associate Prof, BBSBEC, Fatehgarh Sahib (Punjab), India.
3Mr.Vishal Khatri, Assistant Prof in SIET Greater Noida (U.P), India. 

Manuscript received on 18 April 2012 | Revised Manuscript received on 25 April 2012 | Manuscript published on 30 April 2012 | PP: 83-87 | Volume-1 Issue-1, April 2012 | Retrieval Number: A0137021112/2012©BEIESP
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Abstract: As we know that WWW is allowing peoples to share the huge information globally from the big database repositories. The amount of information grows billions of databases. Hence to search particular information from these huge databases we need the specialized mechanism which helps to retrieve that information efficiently. Now days various types of search engines are available which makes information retrieving is difficult. But to provide the better solution to this problem, semantic web search engines are playing vital role. Basically main aim of this kind of search engines is to providing the required information is small time with maximum accuracy. But the problem with semantic search engines is that those are vulnerable while answering the intelligent queries. These kinds of search engines don’t have much efficiency as per expectations by end users, as most of time they are providing the inaccurate information’s. Thus in this paper we are presenting the new approach for semantic search engines which will answer the intelligent queries also more efficiently and accurately. With the keywords based searches they usually provide results from blogs or other discussion boards. The user cannot have a satisfaction with these results due to lack of trusts on blogs etc. To get the trusted results search engines require searching for pages that maintain such information at some place. Here propose the Intelligent Semantic web based search engine. We use the power of XML meta-tags deployed on the web page to search the queried information. The XML page will be consisted of built-in and user defined tags. The metadata information of the pages is extracted from this XML into RDF. Our practical results showing that proposed approach taking very less time to answer the queries while providing more accurate information.
Keywords: Information retrieval, Intelligent Search, Search Engine, Semantic web, XML, RDF.

Scope of the Article: Artificial Intelligent Methods