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Published in:
2010 | OriginalPaper | Chapter
Why and How Knowledge Discovery Can Be Useful for Solving Problems with CBR
(Extended Abstract)
Author : Amedeo Napoli
Published in: Case-Based Reasoning. Research and Development
Publisher: Springer Berlin Heidelberg
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In this talk, we discuss and illustrate links existing between knowledge discovery in databases (KDD), knowledge representation and reasoning (KRR), and case-based reasoning (CBR). KDD techniques especially based on Formal Concept Analysis (FCA) are well formalized and allow the design of concept lattices from binary and complex data. These concept lattices provide a realistic basis for knowledge base organization and ontology engineering. More generally, they can be used for representing knowledge and reasoning in knowledge systems and CBR systems as well.