Abstract
Similarity assessment is a key operation in case-based reasoning and other areas of artificial intelligence. This paper focuses on measuring similarity in the context of Description Logics (DL), and specifically on similarity between individuals. The main contribution of this paper is a novel approach based on measuring similarity in the space of Conjunctive Queries, rather than in the space of concepts. The advantage of this approach is two fold. On the one hand it is independent of the underlying DL, and thus, there is no need to design similarity measures for different DL, and on the other hand, the approach is computationally more efficient than searching in the space of concepts.
Partially supported by Spanish Ministry of Economy and Competitiveness under grants TIN2009-13692-C03-01 and TIN2009-13692-C03-03 and by the Generalitat de Catalunya under the grant 2009-SGR-1434.
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Sánchez-Ruiz, A.A., Ontañón, S., González-Calero, P.A., Plaza, E. (2013). Refinement-Based Similarity Measure over DL Conjunctive Queries. In: Delany, S.J., Ontañón, S. (eds) Case-Based Reasoning Research and Development. ICCBR 2013. Lecture Notes in Computer Science(), vol 7969. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39056-2_20
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