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On succinct representation of knowledge community taxonomies with formal concept analysis

Roth, Camille, Obiedkoy, Sergei and Kourie, Derrick G. (2008) On succinct representation of knowledge community taxonomies with formal concept analysis International Journal of Foundations of Computer Science, 19 (02). pp. 383-404. ISSN 0129-0541

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Abstract

We present an application of formal concept analysis aimed at representing a meaningful structure of knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (community members) who develop a set of notions. If no constraints are imposed on how it is built, a knowledge community taxonomy may become extremely complex and difficult to analyze. We consider two approaches to building a concise representation respecting the underlying structural relationships, while hiding uninteresting and/or superfluous information: a pruning strategy based on the notion of concept stability and a representational improvement based on nested line diagrams and “zooming”. We illustrate the methods on two examples: a community of embryologists and a community of researchers in complex systems.

Item Type: Article
Additional Information: Published in: International Journal of Foundations of Computer Science, Vol. 19, No. 2 (2008) 383-404 copyright: World Scientific Publishing
Divisions: Faculty of Arts and Human Sciences > Sociology > Centre for Research in Social Simulation (CRESS)
Depositing User: Mr Adam Field
Date Deposited: 27 May 2010 14:42
Last Modified: 23 Sep 2013 18:33
URI: http://epubs.surrey.ac.uk/id/eprint/1597

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