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Tuuurbine: A Generic CBR Engine over RDFS

Emmanuelle Gaillard 1, 2 Laura Infante-Blanco 1 Jean Lieber 1, 2 Emmanuel Nauer 1, 2 
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This paper presents Tuuurbine, a case-based reasoning (CBR) system for the Semantic Web. Tuuurbine is built as a generic CBR system able to reason on knowledge stored in RDF format; it uses Semantic Web technologies like RDF/RDFS, RDF stores, SPARQL, and optionally Semantic Wikis. Tuuurbine implements a generic case-based inference mechanism in which adaptation consists in retrieving similar cases and in replacing some features of these cases in order to obtain one or more solutions for a given query. The search for similar cases is based on a generalization/specialization method performed by means of generalization costs and adaptation rules. The whole knowledge (cases, domain knowledge, costs, adaptation rules) is stored in an RDF store.
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Submitted on : Thursday, November 13, 2014 - 1:06:31 PM
Last modification on : Thursday, August 4, 2022 - 5:18:48 PM
Long-term archiving on: : Monday, February 16, 2015 - 3:15:32 PM


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Emmanuelle Gaillard, Laura Infante-Blanco, Jean Lieber, Emmanuel Nauer. Tuuurbine: A Generic CBR Engine over RDFS. Case-Based Reasoning Research and Development, Sep 2014, Cork, Ireland. pp.140 - 154, ⟨10.1007/978-3-319-11209-1_11⟩. ⟨hal-01082372⟩



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