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Taxonomy Alignment for Interoperability Between Heterogeneous Digital Libraries

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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

Resources located in digital libraries are labeled (or classified) based on taxonomies. On multiple digital libraries, however, heterogeneity between taxonomies is a serious problem for efficient interoperation processes (e.g., information sharing and query transformation). In order to overcome this problem, we propose a novel framework based on aligning taxonomies of digital libraries. Thereby, the best mapping between concepts has to be discovered to maximize the summation of a set of partial similarities. For experimentation, three digital libraries were built based on different taxonomies. Taxonomy alignment-based resource retrieval was evaluated by human experts, and we measured recall and precision measures retrieved by concept replacement strategy.

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Author information

Authors and Affiliations

  1. Department of Computer & Information Eng., Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon, 402-751, Korea

    Jason J. Jung

  2. INRIA Rhône-Alpes, ZIRST 655 avenue de l’Europe, Montbonnot, 38334, Saint Ismier cedex, France

    Jason J. Jung

Authors
  1. Jason J. Jung
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Editor information

Editors and Affiliations

  1. University of Tsukuba, Tsukuba 1-2, Ibaraki, Japan

    Shigeo Sugimoto

  2. The University of Queensland, St Lucia, Queensland, Australia

    Jane Hunter

  3. Vienna University of Technology, Vienna, Austria

    Andreas Rauber

  4. Research Center for Knowledge Communities, University of Tsukuba, 305-8550, Ibaraki, Japan

    Atsuyuki Morishima

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© 2006 Springer-Verlag Berlin Heidelberg

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Jung, J.J. (2006). Taxonomy Alignment for Interoperability Between Heterogeneous Digital Libraries. 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_30

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  • DOI: https://doi.org/10.1007/11931584_30

  • 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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