文章基本信息

标题：A Survey On Meta Search Engine in Semantic Web
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作者：G.Sudeepthi ; Prof. M.Surendra Prasad Babu
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：6
页码：3051-3055
出版社：Technopark Publications
摘要：The Search engines plays an important role in the success of the Web, Search engines helps any Internet user to rapidly find relevant information. But the unsolved problems of current search engines have led to the development of the Semantic Web. In the environment of Semantic Web, the search engines are more useful and efficient in searching the relevant web information., and our work shows how the fundamental elements of the meta search engine can be used in retriving the information resources in a more efficient way. Meta search engines that utilizes the power of a traditional search engine and enriches the search result using the knowledge base to produce better results, In this paper we made a brief survey on the concept of meta search engines, and focused on the architecture and their key technologies involve,. finally summarized various semantic meta search engines developed so far such as SavvySearch, Metacrawler,hot bot, harvest42,dogpile e.t.c, in their own strategy