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Towards Databases for Knowledge Representation

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Foundations of Knowledge Base Management

Part of the book series: Topics in Information Systems ((TINF))

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Abstract

This chapter discusses architectural aspects of Distributed Knowledge Base Management Systems. We investigate how research results on knowledge representation from the artificial intelligence side and on massive data management from the database side may be effectively combined in the design and development of a future distributed knowledge base management system architecture. In particular we address the incorporation of preexisting, autonomously created and administered, heterogeneous database systems as components in a Distributed Knowledge Base Management System and we illustrate how a relational data base schema may be translated into a semantic data model using the Temporal Hierarchic Model [FN85, SCHI83b] as the representation tool.

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Author information

Authors and Affiliations

  1. GMD, Darmstadt, Germany

    Erich J. Neuhold

  2. Inst. für Angewandte Informatik, TU Vienna, Austria

    Michael Schrefl

Authors
  1. Erich J. Neuhold
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  2. Michael Schrefl
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Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Johann Wolfgang Goethe-Universität, Robert-Mayer-Straße 11-15, D-6000, Frankfurt a. M. 11, Rep. Fed. of Germany

    Joachim W. Schmidt

  2. Istituto di Elaborazione della Informazione, Consiglia Nazionale delle Ricerche (CNR), Robert-Mayer-Strape 11-15, I-56100, Pisa, Italy

    Constantino Thanos

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© 1989 Springer-Verlag Berlin Heidelberg

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Neuhold, E.J., Schrefl, M. (1989). Towards Databases for Knowledge Representation. In: Schmidt, J.W., Thanos, C. (eds) Foundations of Knowledge Base Management. Topics in Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83397-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-83397-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83399-1

  • Online ISBN: 978-3-642-83397-7

  • eBook Packages: Springer Book Archive

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