SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
On the design of a learning crawler for topical resource discovery
ACM Transactions on Information Systems (TOIS)
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Context-Sensitive Semantic Query Expansion
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Automatic Query Refinement Using Mined Semantic Relations
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
A Prototype Process-Based Search Engine
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
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A Web Search Engine is designed to search for information over World Wide Web. When user submits a query, the generated information is often very large and inaccurate, that results in increased user perceived latency. In this paper, a novel approach of Definition-based search is being introduced that solves this problem. The proposed system searches and displays results based on themes, definitions and synonyms of the query keywords generally extracted from the web resources and stored in a separate definition repository. It extends the traditional keyword based web search in order to provide semantic and context based search. The system works as a layer above the keyword based search engine to generate sub-queries based on different meanings of query keywords, which in turn, are sent to the next layer i.e. to keyword-based search engine to perform Web search. The experiments show that this approach is efficient as it results in relevant pages and reduces the search space to a large extent.