Traditional information retrieval techniques become inadequate for the increasingly vast amounts of text data. Here we show a method of query processing, which retrieve the documents containing not only the query terms but also documents having their synonyms. The method performs the query processing by retrieving and scanning the inverted index document list. We show that query response time for conjunctive Boolean queries can be dramatically reduced, at cost in terms of secondary storage, by applying range partition feature of Oracle to reduce the primary memory storage space requirement for looking the inverted list. The proposed method is based on fuzzy relations and fuzzy reasoning to retrieve only top ranking documents from the database and grouping of the retrieved documents through Suffix tree clustering.
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