document: The infocious web search engine : improving web searching through linguistic analysis In this paper we present the Infocious Web search engine ( 23 ) . Our goal in creating Infocious is to improve the way people find information on the Web by resolving ambiguities present in natural language text . This is achieved by performing linguistic analysis on the content of the Web pages we index , which is a departure from existing Web search engines that return results mainly based on keyword matching . This additional step of linguistic processing gives Infocious two main advantages . First , Infocious gains a deeper understanding of the content of Web pages so it can better match users ' queries with indexed documents and therefore can improve relevancy of the returned results . Second , based on its linguistic processing , Infocious can organize and present the results to the user in more intuitive ways . In this paper we present the linguistic processing technologies that we incorporated in Infocious and how they are applied in helping users find information on the Web more efficiently . We discuss the various components in the architecture of Infocious and how each of them benefits from the added linguistic processing . Finally , we experimentally evaluate the performance of a component which leverages linguistic information in order to categorize Web pages .
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