A part-of-query tagger for search queries
by Chheng, Tommy, M.S., UNIVERSITY OF CALIFORNIA, IRVINE, 2010, 69 pages; 1476704

Abstract:

In this thesis, we explore expanding beyond keyword searches for structured data when using a text field search interface. By associating meaning with each term in a query, a search system can provide more relevant results. This thesis will cover the implementation of a part-of-query tagging system which tags a search query's terms with its associated metadata field. Specifically, we create the system using a unified segmentation and classification algorithm based on a generalized Bayes classifier. We perform evaluations based on a generated test set and achieve an 85% accuracy in tagging the terms in a search query to the correct metadata fields. We incorporate the system into ResearchWatch, an unofficial search engine for NSF research grants and demonstrate the applicability of the system by providing a qualitative comparison to Research.gov, the official NSF research grant search engine.
 
AdvisersRamesh Jain; Bill Tomlinson
SchoolUNIVERSITY OF CALIFORNIA, IRVINE
SourceMAI/ 48-05, p. , Jun 2010
Source TypeThesis
SubjectsInformation science; Computer science
Publication Number1476704
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