Similarity metrics for set of experience knowledge structure

Title: Similarity metrics for set of experience knowledge structure
Creator: Sanin, Cesar; Szczerbicki, Edward
Publisher Link: http://dx.doi.org/10th International Conference on Knowledge Based and Intelligent Information and Engineering Systems (KES 2006). Knowledge-Based Intelligent Information and Engineering Systems: 10th International Conference, KES 2006 Proceedings, Part I (Bournemouth, UK October 9-11, 2006) p. 663-670
Publisher Link: http://dx.doi.org/10.1007/11892960_80
Publisher: Springer Berlin
Resource Type: conference paper
Date: 2006
Description: When referring to knowledge forms, collecting formal decision events in a knowledge-explicit way becomes an important development. Set of experience knowledge structure can assist in accomplishing this purpose. However, to make set of experience knowledge structure useful, it must be classifiable and comparable. The purpose of this paper is to show similarity metrics for set of experience knowledge structure, and within, similarity metrics for its components: variables, functions, constraints, and rules. A comparable and classifiable set of experience would make explicit knowledge of formal decision events useful elements in multiple systems and technologies.
Subject: knowledge forms; knowledge structure; similarity metrics; formal decision events
Identifier: uon:2949
Identifier: http://hdl.handle.net/1959.13/32212
Identifier: ISBN:9783540465355
Reviewed

		Thumbnail	File	Description	Size	Format