This paper presents an architecture of ontological components for the Semantic Web. Many methods and methodologies can be found in the literature. Generally, they are dedicated to ...
Nesrine Ben Mustapha, Marie-Aude Aufaure, Hajer Ba...
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...