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 comparing 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 are concerned with 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 traditional OPAC incorporating with the proposed framework gives satisfactory results.
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Notes
- 1.
The full description of this ontology, OntoMathPro, is appeared in [10].
- 2.
A stem is the form of a word before any inflectional affixes are added. For example, the words connect, connected, connecting, connections all can be stemmed to the word “connect”.
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This research is supported by Faculty of Science and Technology Fund, Thammasat University.
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Intarapaiboon, P. (2018). An Improvement of Unknown-Item Search for OPAC Using Ontology and Academic Information. In: Kim, K., Kim, H., Baek, N. (eds) IT Convergence and Security 2017. Lecture Notes in Electrical Engineering, vol 449. Springer, Singapore. https://doi.org/10.1007/978-981-10-6451-7_38
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