Name
Title | ||
|---|---|---|
On Succinct Representation Of Knowledge Community Taxonomies With Formal Concept Analysis |
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 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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1142/S0129054108005735 | INTERNATIONAL JOURNAL OF FOUNDATIONS OF COMPUTER SCIENCE |
Keywords | Field | DocType |
concept lattice, nested line diagram, concept stability, community detection, taxonomy | Complex system,Data mining,Discrete mathematics,Knowledge community,Lattice Miner,Zoom,Theoretical computer science,Formal concept analysis,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 2 | 0129-0541 |
Citations | PageRank | References |
24 | 0.89 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camille Roth | 1 | 109 | 7.42 |
| Sergei A. Obiedkov | 2 | 489 | 30.35 |
| Derrick G. Kourie | 3 | 223 | 33.10 |