Representing Similarity for CBR in XML

نویسندگان

  • Lorcan Coyle
  • Dónal Doyle
  • Padraig Cunningham
چکیده

As Case-Based Reasoning has matured as a discipline; the need for a standard means of representing case-based knowledge has come to the fore. While proposals exist for representing the vocabulary and the case-base knowledge containers, there are still no proposed standards for representing similarity or adaptation knowledge. In this paper we present extensions for representing similarity knowledge to CBML, an XML-based CBR language.

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تاریخ انتشار 2004