Abstract
Information retrieval is a field that is emerging day by day as user needs are growing. Users nowadays are not satisfied with results that merely match the query textual words; they want the query to be understood well and then results to be retrieved. These changing requirements need the query to be processed and its hidden intent uncovered. The authors address this problem by creating a system that understands the hidden temporal intent of the query and classifies it into proposed classes. This chapter works on temporal expressions in the document and classifies the query with respect to the temporal expressions in the document. The work is not limited to just classifying the query but also explores how these classifications will help search engines to make modifications in their user interface, which helps users to reach their desired information faster. Temporal boundaries of queries can be found using this work, which will help to disambiguate certain queries.
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