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Taxonomy Alignment for Interoperability Between Heterogeneous Digital Libraries

  • Jason J. Jung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)

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.

Keywords

Digital Library Query Expansion Class Similarity Alignment Process Conceptual Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jason J. Jung
    • 1
    • 2
  1. 1.Department of Computer & Information Eng.Inha UniversityIncheonKorea
  2. 2.INRIA Rhône-AlpesSaint Ismier cedexFrance

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