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- W1947736045 abstract "Case-based reasoning (CBR) based on description logics (DLs) has gained a lot of attention lately. Adaptation is a basic task in CBR that can be modeled as a knowledge base revision problem which has been solved in propositional logic. However, in DLs, adaptation is still a challenge problem since existing revision operators only work well for DLs of the DL-Lite family. It is difficult to design revision algorithms that are syntax-independent and fine-grained. In this paper, we propose a new method for adaptation based on the tractable DL (mathcal{EL_{bot}}). Following the idea of adaptation as revision, we firstly extend the logical basis for describing cases from propositional logic to DL and present a formalism for adaptation based on (mathcal{EL_{bot}}). Then we show that existing revision operators and algorithms in DLs can not be used for this formalism. Finally we present our adaptation algorithm. Our algorithm is syntax-independent and fine-grained, and satisfies the requirements on revision operators." @default.
- W1947736045 created "2016-06-24" @default.
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- W1947736045 date "2014-01-01" @default.
- W1947736045 modified "2023-10-18" @default.
- W1947736045 title "Algorithm for Adapting Cases Represented in a Tractable Description Logic" @default.
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- W1947736045 doi "https://doi.org/10.1007/978-3-319-11209-1_6" @default.
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