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Exploiting Semantics in Subject-Based Searching of DSpace

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7634)

Abstract

Subjects are grouped in a classification system according to their established natural relationship. Subject-based searching (SS) in institutional repositories (IR) searches objects on the basis of subjects. The existing SS technique in the IR system: DSpace, partially exploits the semantics inherent in subject-based classification and misses out objects that are relevant to a user query. Ontology describes the semantic relationships that exist among different subjects of classification. Our proposed system employs ontology for SS in order to exploit the semantic relationships that exist among subjects. We figure out the family of a user given subject, assign different weights to semantic relationships and rank the retrieved objects according to weights. The proposed system was compared with the existing DSpace SS system. The results shows that the system returns more relevant objects than the existing SS system.

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Usman, A., Khan, S. (2012). Exploiting Semantics in Subject-Based Searching of DSpace. In: Chen, HH., Chowdhury, G. (eds) The Outreach of Digital Libraries: A Globalized Resource Network. ICADL 2012. Lecture Notes in Computer Science, vol 7634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34752-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-34752-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34751-1

  • Online ISBN: 978-3-642-34752-8

  • eBook Packages: Computer ScienceComputer Science (R0)