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ICCS
2004
Springer

Clustering of Conceptual Graphs with Sparse Data

13 years 9 months ago
Clustering of Conceptual Graphs with Sparse Data
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner through the concept of stereotype, based on the notion of default generalization. The cognitive model we propose relies on sets of stereotypes and makes it possible to save data in a structured memory.
Jean-Gabriel Ganascia, Julien Velcin
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICCS
Authors Jean-Gabriel Ganascia, Julien Velcin
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