A Semantic Similarity Measure for Expressive Description Logics
Abstract
A totally semantic measure is presented which is able to calculate a similarity value between concept descriptions and also between concept description and individual or between individuals expressed in an expressive description logic. It is applicable on symbolic descriptions although it uses a numeric approach for the calculus. Considering that Description Logics stand as the theoretic framework for the ontological knowledge representation and reasoning, the proposed measure can be effectively used for agglomerative and divisional clustering task applied to the semantic web domain.
Cite
@article{arxiv.0911.5043,
title = {A Semantic Similarity Measure for Expressive Description Logics},
author = {Claudia d'Amato and Nicola Fanizzi and Floriana Esposito},
journal= {arXiv preprint arXiv:0911.5043},
year = {2009}
}
Comments
13 pages, Appeared at CILC 2005, Convegno Italiano di Logica Computazionale also available at http://www.disp.uniroma2.it/CILC2005/downloads/papers/15.dAmato_CILC05.pdf