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.
The development of Tuuurbine was supported by an Inria ADT funding from October 2011 to October 2013. The authors would like to thank the reviewers who have helped improving the quality of this paper: it was not possible to take into account all their remarks in the paper, but these remaining remarks point out interesting issues that the authors plan to address as future work.
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Gaillard, E., Infante-Blanco, L., Lieber, J., Nauer, E. (2014). Tuuurbine: A Generic CBR Engine over RDFS. In: Lamontagne, L., Plaza, E. (eds) Case-Based Reasoning Research and Development. ICCBR 2014. Lecture Notes in Computer Science(), vol 8765. Springer, Cham. https://doi.org/10.1007/978-3-319-11209-1_11
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DOI: https://doi.org/10.1007/978-3-319-11209-1_11
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