Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2017-01-01
Supervisor
Dr. Shakeel Ahmed Khoja, Professor and Dean School of Mathematics and Computer Science
Document type
MSCS Survey Report
Abstract
This purpose of this survey is to study the use of query expansion to remove ambiguity of query terms. Both ontological query expansion and non-ontological query expansion are considered to analyse how system disambiguate the query terms to provide better search result. The result showed that search result with query expansion have better recall and precision than keyword-based information retrieval system. The result found showed that ontological query expansion performs best with less query terms whereas for probabilistic model the result varies according to the probability expansion technique used.
Recommended Citation
Rahim, M. (2017). A survey on disambiguation of query using query expansion techniques (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/99
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