Title: APPROXIMATING USER'S INTENTION FOR SEARCH ENGINE QUERIES
Abstract:Documents on the internet are not organized in a way that eases search and retrieval by users using search engines. The user of the search engine is typically overwhelmed by the size of the returned r...Documents on the internet are not organized in a way that eases search and retrieval by users using search engines. The user of the search engine is typically overwhelmed by the size of the returned result and does not normally look beyond the first few pages of result. Knowing that the majority of search engines are term-based, this information retrieval problem is caused by two issues: (1) query articulation issue; where the user is not capable of expressing his information need well, and (2) semantic gap issue where the search engine may not be able to retrieve semantically relevant documents. In this paper we introduce a solution that addresses these issues through semantic enrichment and query reformulation. Our solution approximates the user’s intention in order to return better search results. Experiments show significant enhancement in search results over traditional keyword-based search engines’ results and over selected semantic search engines.Read More