Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
The next development in building Bayesian networks will most likely entail constructing multipurpose models that can be employed for varying tasks and by different types of user. ...
Hermina J. M. Tabachneck-Schijf, Linda C. van der ...
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
Nowadays, e-learning systems are widely used for education and training in universities and companies because of their electronic course content access and virtual classroom partic...
Abstract. Despite of their advertisement as task independent representations, the reuse of ontologies in different contexts is difficult. An explanation for this is that when devel...