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Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

Ioannis Papadakis, Konstantinos Kyprianos
Copyright: © 2011 |Volume: 7 |Issue: 3 |Pages: 17
ISSN: 1548-0666|EISSN: 1548-0658|EISBN13: 9781613508213|DOI: 10.4018/jkm.2011070106
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MLA

Papadakis, Ioannis, and Konstantinos Kyprianos. "Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems." IJKM vol.7, no.3 2011: pp.74-90. http://doi.org/10.4018/jkm.2011070106

APA

Papadakis, I. & Kyprianos, K. (2011). Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems. International Journal of Knowledge Management (IJKM), 7(3), 74-90. http://doi.org/10.4018/jkm.2011070106

Chicago

Papadakis, Ioannis, and Konstantinos Kyprianos. "Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems," International Journal of Knowledge Management (IJKM) 7, no.3: 74-90. http://doi.org/10.4018/jkm.2011070106

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Abstract

One of the most important tasks of a librarian is the assignment of appropriate subject(s) to a resource within a library’s collection. The subjects usually belong to a controlled vocabulary that is specifically designed for such a task. The most widely adopted controlled vocabulary across libraries around the world is the Library of Congress Subject Headings (LCSH). However, there seems to be a shifting from traditional LCSH to modern thesauri. In this paper, a methodology is proposed, capable of incorporating thesauri into existing LCSH-based Information Retrieval–IR systems. In order to achieve this, a mapping methodology is proposed capable of providing a common structure consisting of terms belonging to LCSH and/or a thesaurus. The structure is modeled as a Simple Knowledge Organization System (SKOS) ontology, which can be employed by appropriate subject-based IR systems. As a proof of concept, the proposed methodology is applied to the DSpace-based University of Piraeus digital library.

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