Sciweavers

Share
IKE
2004

Analogy and Deduction for Knowledge Discovery

8 years 11 months ago
Analogy and Deduction for Knowledge Discovery
Analogy-based hypothesis generation is a promising technique for knowledge discovery. However, some hypotheses generated are nonsensical. This paper describes a two-phased method to increase the quality of analogy reasoning. The first phase employs an established approach to generate hypotheses through similarity matching. The second phase utilizes deductive reasoning to eliminate hypotheses that are clearly false or absurd. The basis for elimination is violation of common sense or domain knowledge, which is represented in a suite of ontologies. We describe a set of preliminary experiments conducted to validate this two-phased approach. The experiments involved much larger test cases than reported by any other analogy researchers, and the results are very encouraging.
Jim Reynolds, Adam Pease, John Li
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where IKE
Authors Jim Reynolds, Adam Pease, John Li
Comments (0)
books