Toward a semantic granularity model for domain-specific information retrieval
ACM Transactions on Information Systems (TOIS)
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The main aim of the proposed approach presented in this paper is to improve web information retrieval effectiveness by overcoming the problems associated with a typical keyword matching retrieval system, through the use of concepts and an intelligent fusion of confidence values. By exploiting the conceptual hierarchy of the WordNet [1] knowledgebase, we show how to effectively encode the conceptual information in a document using the semantic information implied by the words that appear within it. Rather than treating a word as a string made up of a sequence of characters, we consider a word to represent a concept.