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Finding Similar Deductive Consequences – A New Search-Based Framework for Unified Reasoning from Cases and General Knowledge

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Advances in Case-Based Reasoning (ECCBR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4106))

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Abstract

While reasoning with cases is usually done in a similarity-based manner, additional general knowledge is often represented in rules, constraints, or ontology definitions and is applied in a deductive reasoning process. This paper presents a new view on the combination of deductive and similarity-based reasoning, which is embedded in the CBR context. The basic idea is to view general knowledge and cases as a logical theory of a domain. Similarity-based reasoning is introduced as search for the most similar element in the deductive closure of the domain theory. We elaborate this approach and introduce several related search algorithms, which are analyzed in an experimental study. Further, we show how several previous approaches for using general knowledge in CBR can be mapped to our new view.

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Authors and Affiliations

  1. Department of Business Information Systems II, University of Trier, 54294, Trier, Germany

    Ralph Bergmann & Babak Mougouie

Authors
  1. Ralph Bergmann
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  2. Babak Mougouie
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Editor information

Editors and Affiliations

  1. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

  2. PricewaterhouseCoopers LLP, Center for Advanced Research, Ten Almaden Blvd, Suite 1600, 95113, San Jose, CA

    Mehmet H. Göker

  3. Department of Computer Engineering, Bilkent University, 06800, Ankara, Turkey

    H. Altay Güvenir

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© 2006 Springer-Verlag Berlin Heidelberg

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Bergmann, R., Mougouie, B. (2006). Finding Similar Deductive Consequences – A New Search-Based Framework for Unified Reasoning from Cases and General Knowledge. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds) Advances in Case-Based Reasoning. ECCBR 2006. Lecture Notes in Computer Science(), vol 4106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11805816_21

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  • DOI: https://doi.org/10.1007/11805816_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36843-4

  • Online ISBN: 978-3-540-36846-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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