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A Personal Ontology Model for Library Recommendation System

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Digital Libraries: Achievements, Challenges and Opportunities (ICADL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4312))

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Abstract

With the advent of information technology, library services are facing tremendous changes in the form of digitalization. In addition to the digitalization of library resources, personalized systems and recommendation systems are two of highly desirable services among library patrons. This study proposes a novel recommendation system based on analysis of loan records. In our system, we use the traditional cataloging scheme, such as the Library of Congress Classification (LCC), as the reference ontology and build personal ontology by mining interested subjects and relationships among subjects from patron’s borrowing records. The proposed scheme can meet diversified demands of individual patron and provide patrons with a user-friendly interface to help them access needed information.

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© 2006 Springer-Verlag Berlin Heidelberg

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Liao, IE., Liao, SC., Kao, KF., Harn, IF. (2006). A Personal Ontology Model for Library Recommendation System. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds) Digital Libraries: Achievements, Challenges and Opportunities. ICADL 2006. Lecture Notes in Computer Science, vol 4312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11931584_20

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  • DOI: https://doi.org/10.1007/11931584_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49375-4

  • Online ISBN: 978-3-540-49377-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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