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Title: A survey on semantic web mining based web search engines
Authors: S. Latha ShanmugaVadivu, M. Rajaram, S. N. Sivanandam
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2011
Volume: 6
Issue: 10
Language: English
With the advancement of the World Wide Web (WWW), the information search has been developed to be a major business segment of a global, competitive and money-making market. Search engines are the basic tool of the internet, from which related information can collected according to the specified query or keyword given by the user. A perfect search engine is the one which should travel through all the web pages in the WWW and should list the related information based on the given user keyword. In spite of the recent developments on web search technologies, there are still many conditions in which search engine users obtains the non-relevant search results from the search engines. Many web specialists have confirmed that no search engine in the world is perfectly up to date. It is also proved that no two search engines which index the similar Web information, and none of them are searching the information in the same manner. This paper also focuses on the survey of many web search engines which are proposed by various authors.
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