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- W2367631443 abstract "The combination of case-based reasoning (CBR) and domain knowledge is one of the CBR research hotspot in recent years,and the different knowledge representation bring different effects to system performance of CBR.Aimed at the shortage of the combination of traditional knowledge representation and CBR,a scalable case representation model is proposed based on description logic(DL),and given the corresponding case retrieval algorithm.This model emphasized that domain knowledge in CBR mainly served for case retrieval and rectification,and the extent of use of domain knowledge should be determined by the actual needs and application background of CBR.This model can maintain the advantages of CBR system,and also provide a flexible means of using domain knowledge." @default.
- W2367631443 created "2016-06-24" @default.
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- W2367631443 date "2010-01-01" @default.
- W2367631443 modified "2023-09-28" @default.
- W2367631443 title "The Research of Scalable Case Representation and Retrieval Based on Description Logic" @default.
- W2367631443 hasPublicationYear "2010" @default.
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