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Semantic Search Engine in Institutional Repository: An Ontological Approach

Maizatul Akmar Ismail, and Mashkuri Yaacob, and Sameem Abdul Kareem, and Ahmad Haris Abdul Halim, (2007) Semantic Search Engine in Institutional Repository: An Ontological Approach. In: Building An Information Society For All: Proceedings of the International Conference on Libraries, Information and Society, ICOLIS 2007, 26-27 June 2007, Armada Hotel, Petaling Jaya, Malaysia. ISBN 9789834349103.

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Affiliations

University of Malaya, Faculty of Computer Science & Information Technology

Abstract

In Malaysia, the majority of electronically enabled academic related literature have increased in number. As the concept of Institutional Repository (IR) is relatively new, these collections of literature would definitely be a contributor to the IR contents. A recent study shows positive feedback from students towards establishing an IR in local universities. This paper explores the problems in searching text-based content in the context of IR. The problem with generic search engine is that it will retrieve irrelevant results and users need to spend more time filtering the information that will suit them most. The absence of semantic relations in the collections of academic related publication would result in a penalty as the process of exploring the contents will expand to all occurrences of a given word(s) and may retrieve irrelevant information as term(s) can have different meanings. Clearly, a specialize search engine which can elaborate search queries semantically to find conceptual relations between documents (i.e. the ontology) and retrieve related articles in a more efficient way is highly in need. This paper discusses related researches on providing semantic search in text corpus. Next, a proposal in refining an ontology construction process is discussed. Finally, the paper concludes with future directions of research in this area

Item Type:Conference or Workshop Item (Paper)
Additional Information:Edited by Abrizah Abdullah et al. Kuala Lumpur: Library & Information Science Unit, Faculty of Computer Science & Information Technology, University of Malaya, 2007. ISBN:9789834349103.
Keywords:Repository (IR); IR Content; Semantic Search; Ontology
Subjects:T Technology
ID Code:16

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