DocumentCode :
260546
Title :
Analysis of retrieval result on ontology-based query reformulation
Author :
Azizan, Azilawati ; Abu Bakar, Zainab ; Noah, Shahrul Azman
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2014
fDate :
2-4 Sept. 2014
Firstpage :
244
Lastpage :
248
Abstract :
Users normally facing difficulties to expresses their information needs into a query format that the search system can use to process. Therefore users frequently modify their query with intention to retrieve better results. The goal of this experiment is to compare the precision of the retrieved results by employing domain ontology to reformulate the user query. We proposed to reformulate the query (initially in natural language) by replacing it with the terms retrieved from ontology. Then we improve the approach by combining the terms from ontology with keyword/s extracted from the initial user´s natural language query. Precision measure had been conducted for six queries and the results showed that the idea of combining ontology terms with keyword from query gave a promising result. It achieved higher precision in comparison when using ontology terms alone. This experimental result indicates that query reformulation is more efficient when ontology term/s combined with key element from the user´s query.
Keywords :
ontologies (artificial intelligence); query processing; search engines; domain ontology; key elements; keyword extraction; ontology-based user query reformulation; precision measure; query format; query ontology terms; retrieval result analysis; search system; user natural language query; Agriculture; Conferences; Natural languages; Ontologies; Search engines; Semantics; ontology; precision measure; query reformulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Communications, and Control Technology (I4CT), 2014 International Conference on
Conference_Location :
Langkawi
Print_ISBN :
978-1-4799-4556-6
Type :
conf
DOI :
10.1109/I4CT.2014.6914183
Filename :
6914183
Link To Document :
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