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.
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.
|Divisions :||Faculty of Arts and Human Sciences > Sociology > Centre for Research in Social Simulation (CRESS)|
|Date :||1 January 2008|
|Identification Number :||10.1142/S0129054108005735|
|Additional Information :||Published in: International Journal of Foundations of Computer Science, Vol. 19, No. 2 (2008) 383-404 copyright: World Scientific Publishing|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:42|
|Last Modified :||23 Sep 2013 18:33|
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