by Nicola Fanizzi, Claudia D'Amato, F Esposito
Abstract:
The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simple, yet effective and language-independent, semi-distance measure for individuals, that is based on their underlying semantics along with a number of dimensions corresponding to a set of concept descriptions (discriminating features committee). The clustering algorithm is a partitional method and it is based on the notion of medoids w.r.t. the adopted semi-distance measure. Eventually, it produces a hierarchical organization of groups of individuals. A final experiment demonstrates the validity of the approach using absolute quality indices. We propose two possible exploitations of these clusterings: concept formation and detecting concept drift or novelty.
Reference:
Conceptual clustering and its application to concept drift and novelty detection (Nicola Fanizzi, Claudia D'Amato, F Esposito), In Proceedings of the 5th European semantic web conference on The semantic web: research and applications, 2008.
Bibtex Entry:
@inproceedings{fanizzi2008conceptual,
abstract = {The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simple, yet effective and language-independent, semi-distance measure for individuals, that is based on their underlying semantics along with a number of dimensions corresponding to a set of concept descriptions (discriminating features committee). The clustering algorithm is a partitional method and it is based on the notion of medoids w.r.t. the adopted semi-distance measure. Eventually, it produces a hierarchical organization of groups of individuals. A final experiment demonstrates the validity of the approach using absolute quality indices. We propose two possible exploitations of these clusterings: concept formation and detecting concept drift or novelty.},
author = {Fanizzi, Nicola and D'Amato, Claudia and Esposito, F},
booktitle = {Proceedings of the 5th European semantic web conference on The semantic web: research and applications},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
organization = {Springer-Verlag},
pages = {318--332},
title = {{Conceptual clustering and its application to concept drift and novelty detection}},
year = {2008}
}