QUESEM: Towards building a Meta Search Service utilizing Query Semantics
Current Web Search Engines are built to serve needs of all users, independent of the special needs of any individual. The documents are returned by matching their queries with available documents, with no emphasis on the semantics of query. As a result, the generated information is often very large and inaccurate that results in increased user perceived latency. In this paper, a Semantic Search Service is being developed to help users gather relevant documents more efficiently unlike traditional Web search engines. The approach relies on the online web resource such as dictionary based sites to retrieve possible semantics of the query keywords, which are stored in a definition repository. The service works as a meta-layer above the keyword-based search engine to generate sub-queries based on different meanings of user query, which in turn are sent to the keyword-based search engine to perform Web search. This approach relieves the user in finding the desired information content and improves the search quality for certain types of complex queries. Experiments depict its efficiency as it results in reduced search space.
Keywords: World Wide Web, Information Retrieval, Search Engine, Query Processing, Semantic Search Techniques
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