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Query Expansion Using Conceptual Knowledge in Computer Science

Muhammad Ahsan, Raza and Rahmah, Mokhtar and Noraziah, Ahmad and Roslina, Abd Hamid and Fauziah, Zainuddin and Nor Azhar, Ahmad (2018) Query Expansion Using Conceptual Knowledge in Computer Science. Advanced Science Letters, 24 (10). pp. 7490-7493. ISSN 1936-6612

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Abstract

Traditional information retrieval systems retrieve documents based on keyword based matching, thereby incapable to provide results according to user information needs. These systems do not consider the semantic relationships among the user query keywords, thus cannot interpret the query context accurately. Query Expansion technique enhances the performance of information retrieval process by expanding user query with relevant meaningful concepts. Ontology represents semantics of a domain, and emerges as an important resource for query expansion. In this paper, we propose a query expansion framework based on conceptual knowledge derived from ontology in the domain of computer science. The system prototype results show good average precision percentage of 89.2% over keyword based search.

Item Type: Article
Uncontrolled Keywords: Computational Intelligence; Information Retrieval; Ontology; Query Expansion; Semantic
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: PM Dr. Noraziah Ahmad
Date Deposited: 12 Sep 2018 04:43
Last Modified: 12 Sep 2018 04:43
URI: http://umpir.ump.edu.my/id/eprint/19913
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