Conceptual Clustering Applied to Ontologies by means of Semantic Discernability

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Esposito:2007:PriCKL,

• author = "Floriana Esposito and Nicola Fanizzi and Claudia d'Amato",
• title = "Conceptual Clustering Applied to Ontologies by means of Semantic Discernability",
• booktitle = "ECML/PKDD Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery, PriCKL'07",
• year = "2007",
• address = "Warsaw, Poland",
• month = sep # " 21",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.ecmlpkdd2007.org/CD/workshops/PRICKLWM2/P_Fan/PriCKL07/PriCkl2007-final.pdf",
• abstract = "A clustering method is presented which can be applied to relational knowledge bases to discover interesting groupings of resources through their annotations expressed in the standard languages of the Semantic Web. The method exploits a simple (yet effective and language-independent) semi-distance measure for individuals, that is based on the semantics of the resources w.r.t. a number of dimensions corresponding to a set of concept descriptions (discriminating features). The algorithm adapts the classic BISECTING K-MEANS to work with medoids. A final experiment demonstrates the validity of the approach using absolute quality indices",
• notes = "Says based on GP and Simulated Annealing

  Dipartimento di Informatica, Universit`a degli Studi di Bari Campus Universitario, Via Orabona 4, 70125 Bari, Italy",

}

Genetic Programming entries for Floriana Esposito Nicola Fanizzi Claudia d'Amato

Citations