Abstract
This paper presents a hybrid method for user query reformation and classification depending on fuzzy semantic-based approach and KNN classifier. The overall processes of the system are: query preprocessing, fuzzy membership calculation and query classification and reformation. Classification is performed using KNN classifier not just by keyword-based semantic but using a sentence-level semantics. A semantic model - EnrichSearch - has been developed for applying this approach. After classification, user's query is reformulated to be submitted to a search engine which gives better results than submitting the original query to the search engine. Experiments show significant enhancement in search results over traditional keyword-based search engines' results.
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