文章基本信息

标题：Comparative Study Of Semantic Search Engines
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作者：Vidhi Shah ; Akshat Shah ; Asst. Prof. Khushali Deulkar 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：11
页码：14969-14972
DOI：10.18535/Ijecs/v4i11.17
出版社：IJECS
摘要：The amount of information accumulated in the internet is massive. The information is searched in the internet using a searchengine. The current search engines searches for the needed information based on the keywords which the users have typed. These searchand retrieval are based on syntactic analysis of keyword instead of contextual analysis. In order to overcome this issue, the need of SemanticSearch Engines is increasing. The Semantic Web is an extension of the current web in which Information retrieval is based on thecontextual analysis of user search query which is a more meaningful search. In this paper we identify the different approaches andtechniques used in different search engines as well as the analysis and comparison of various semantic web search engines based on variousparameter to find out their features and limitations. Based on these analyses of different search engines, a comparative study is done toidentify relative strengths in semantic web search engines
关键词：Semantic Search Engines; Semantic Web; Information Retrieval; Semantic search