Applying domain knowledge and academic information to enhance unknown-item search in OPAC

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Peerasak Intarapaiboon Chainarong Kesamoon

Abstract

Many students usually use the unknown-item search strategies, including subject and keyword searches, to retrieve books or other materials provided in library catalogs. However, the success rates for unknown-item searching is relatively low compared with the known-item search strategies, i.e., title or author searches. In this paper, a framework for improving the unknown-item search is proposed. The main contributions of our framework concern both user's keywords and book indexing: (i) To enhance a user's keyword, the framework will select other relevant terms in a domain-related ontology; (ii) Topics expressed in course description are used as book indexing. A preliminary experiment shows that the proposed framework gives satisfactory results in terms of the numbers and the precision scores of retrieved books. Furthermore, the proposed interesting-score measure can facilitate to lift the precision levels.

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How to Cite
INTARAPAIBOON, Peerasak; KESAMOON, Chainarong. Applying domain knowledge and academic information to enhance unknown-item search in OPAC. Malaysian Journal of Library & Information Science, [S.l.], v. 24, n. 1, p. 45-58, apr. 2019. ISSN 1394-6234. Available at: <https://mjlis.um.edu.my/article/view/17558>. Date accessed: 18 july 2019. doi: https://doi.org/10.22452/mjlis.vol24no1.3.
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