Göm menyn
Files: Description Format
Fulltext PDF (requires Acrobat Reader)
Fulltext part 1 PostScript (requires a PostScript Reader)
  Fulltext part 2 PostScript (requires a PostScript Reader)
   
Authors: Makoto Haraguchi, Yoshiaki Okubo, and Tokuyasu Kakuta
Article title: Conceptual Classification Based on Abstractions
Publ. type: Article
Volume: 5
Article No: 35
Language: English
Abstract [en]: 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.
Publisher: LINKÖPING University Electronic Press
Year: 2000
Available: 2000-12-21
No. of pages: 29
Series: LINKÖPING Electronic Articles in Computer and Information Science
ISSN: 1401-9841


Responsible for this page: Peter Berkesand
Last updated: 2017-02-21