Title: Conceptual Classification Based on Abstractions
Authors: Makoto Haraguchi, Yoshiaki Okubo, and Tokuyasu Kakuta
Series: Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue: Vol. 5 (2000), No. 035
URL: http://www.ep.liu.se/ea/cis/2000/035/

Abstract: This paper describes a conceptual scheme for classifying conceptual situations from the viewpoint of similarities under a goal concept. As the similarity notion depends on a context, we use a goal concept to specify it. Each situation and the goal is represented as a concept graph from which an explanation of the goal is extracted using a typed domain theory. A notion of abstractions is then used to define what is a valid similarity with respect to the explanation of goal. In a word, given an initial situation and a goal subsuming it, a situation is similar to the initial situation if it is a specialization of some analogue of the initial one. We observe that generalization is also needed to obtain a non-trivial or useful similarity. Based on this observation, we present an experimental result on a system for finding similarities between situations under a goal concept.

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