Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries

  • I. Glöckner
  • A. Knoll
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In this paper, we present the design and retrieval methodology of an intuitively operated retrieval assistant (RA) which supports the thematic search in databases of scientific libraries. The retrieval assistant establishes innovative and more adequate means for expressing a user’s search interest by adopting aggregation operators of natural language (e.g. almost all, as many as possible), the interpretation of which is accomplished by novel methods from fuzzy set theory. These operators can be used in their intuitive meaning, i.e. just as in everyday language, for aggregating over sets of weighted search terms. The required scalability of the system is ensured through its multi-tier architecture, which disburdens both the clients and the external database servers by introducing an (arbitrarily replicable) intermediary to perform the computationally intensive aggregation step.

Keywords

Exter Wolfram Pasi 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • I. Glöckner
    • 1
  • A. Knoll
    • 1
  1. 1.Technische Fakultät, Arbeitsgruppe Technische InformatikUniversität BielefeldBielefeldGermany

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