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AIIA
2007
Springer

A Hierarchical Clustering Procedure for Semantically Annotated Resources

9 years 4 months ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic) annotations expressed in the standard languages employed for modeling concepts in the Semantic Web. The method exploits a simple (yet effective and language-independent) semi-distance measure for individuals, that is based on the resource semantics w.r.t. a number of dimensions corresponding to a committee of features represented by a group of concept descriptions (discriminating features). The algorithm is an fusion of the classic Bisecting k-Means with approaches based on medoids since they are intended to be applied to relational representations. We discuss its complexity and the potential applications to a variety of important tasks. 1 Learning Methods for Concept Languages In the inherently distributed applications related to the Semantic Web (henceforth SW) there is an extreme need of automatizing th...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AIIA
Authors Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
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