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Comparative Study of Semantic and Keyword Based Search Engines

机译:基于语义和关键词的搜索引擎的比较研究

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Day by day, the data on the web becomes very huge which makes it difficult to find relevant information. Search engines are one of the successful factors that can retrieve information from the Web. The process of seeking information by search engines helps users find information on the internet, however it is not an easy task to find the exact information from this massive data available on the Web. Semantic Web technology has an ability to focus on metadata rather than syntax, which made the semantic search engines to search for the meaning of keywords instead of the keyword syntax. Consequently, an effective role of performance in conventional search engines can be achieved by rising the accuracy of information returned by a search query. In this paper, a survey for syntactic-based search engines and semantic-based search engines are studied, a comprehensive comparison between the two is presented, finally, their technologies are compared and discussed.
机译:日复一日,网络上的数据变得非常庞大,这使得难以找到相关信息。搜索引擎是可以从Web检索信息的成功因素之一。搜索引擎寻求信息的过程可帮助用户在互联网上查找信息,但是从Web上提供的这种大规模数据找到确切信息并不一致。语义Web技术能够专注于元数据而不是语法,它使语义搜索引擎搜索关键字而不是关键字语法的含义。因此,通过上升搜索查询返回的信息的准确性,可以实现常规搜索引擎中性能的有效作用。在本文中,研究了对句法的搜索引擎和基于语义的搜索引擎的调查,介绍了两者之间的全面比较,最后,他们的技术进行了比较和讨论。

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