We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Graph-based similarity over WordNet has been previously shown to perform very well on word similarity. This paper presents a study of the performance of such a graph-based algorit...
Eneko Agirre, Montse Cuadros, German Rigau, Aitor ...
This paper deals with a joint use of a trust evaluation approach and access control mechanisms for improving security in Web-usage. Trust evaluation is achieved by means of both be...
Luiz Fernando Rust C. Carmo, Breno G. de Oliveira,...
Abstract. The paper presents the methodology and the results of checking consistency of the knowledge base of CADIAG-2, a large-scale medical expert system. Such knowledge base con...
Pavel Klinov, Bijan Parsia, David Picado-Mui&ntild...
Abstract. The overall aim of this paper is to provide a general setting for quantitative quality measures of Knowledge-Based System behavior which is widely applicable to many Know...
Perry Groot, Frank van Harmelen, Annette ten Teije