Integration of Similarity-based and Deductive Reasoning for Knowledge Management

Article Article scientifique Article Integration of Similarity-based and Deductive Reasoning for Knowledge Management eng 2010 author Mougouie Babak 719907 169-173 10.1007/s13218-010-0019-1 0933-1875 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). Dewey 025.063 Open Access - Licence nationale Springer 13 Centre universitaire d'informatique 0D3 32 Département d'informatique 18 false KI - Künstliche Intelligenz 24 2 d031ab7d-975b-44a2-8316-de87fb0cdc1b Article (Published version) Public Mougouie2010_Article_IntegrationOfSimilarity-basedA(1).pdf 224579 application/pdf openAccess Centres et instituts / Centre universitaire d'informatique Faculté des sciences / Département d'informatique

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Integration of Similarity-based and Deductive Reasoning for Knowledge Management	KI - Künstliche Intelligenz			2010	384	258

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Mougouie, Babak