A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
This short paper describes preliminary ideas for empowering e-learning platform Moodle with rules and semantics. Many existing web applications already contain a lot of structured ...
Sergey Lukichev, Ion-Mircea Diaconescu, Adrian Giu...
An issue that is equally arising both from social networks and the Semantic Web is the fact that, without the consistent use of the same identifier for an object across systems, i...
Stefano Bortoli, Heiko Stoermer, Paolo Bouquet, Ho...