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Scientific article
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English

Integration of Similarity-based and Deductive Reasoning for Knowledge Management

ContributorsMougouie, Babak
Published inKI - Künstliche Intelligenz, vol. 24, no. 2, p. 169-173
Collection
  • Open Access - Licence nationale Springer 
Publication date2010
Abstract

Many disciplines in computer science combine similarity-based and logic-based reasoning. The problem is that the disciplines combine these independently of each other. For example in Case-Based Reasoning (CBR) (Aamodt and Plaza, AI Commun. 7(1):39–59, 1994; Bergmann et al., Künstl. Intell. 23(1):5–11, 2009; Bergmann, Experience Management: Foundation, Development, Methodology and Internet-based Applications, LNAI, vol. 2432, Springer, Berlin, 2002), the combination is applied in a sequential manner and not systematically as follows: a set of solutions is retrieved from a case-base using a similarity measure and then deductive reasoning is applied to adapt the retrieved solutions to a query. The aim of this dissertation (Mougouie, Ph.D. thesis, Trier University, Germany, 2009) is to integrate similarity-based and deductive reasoning in a unified manner within the context of Knowledge Management (KM).

Citation (ISO format)
MOUGOUIE, Babak. Integration of Similarity-based and Deductive Reasoning for Knowledge Management. In: KI - Künstliche Intelligenz, 2010, vol. 24, n° 2, p. 169–173. doi: 10.1007/s13218-010-0019-1
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ISSN of the journal0933-1875
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