Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Abstract In the Semantic Web vision of the World Wide Web, content will not only be
accessible to humans but will also be available in machine interpretable form as ontological …

The quality of the results of a data mining process strongly depends on the quality of the
data it processes. A good result is more likely to obtain the more useful background …

In the recent years, several approaches for machine learning on the Semantic Web have
been proposed. However, no extensive comparisons between those approaches have been …

This paper proposes an education 3.0 system called Mutual Learning Community (MLCOM)
by combining the subsystems of the Virtual based Learning Classroom (VLC), Mobile based …

We study a family of operators (called 'Tooth'operators) that combine Description Logic
concepts via weighted sums. These operators are intended to capture the notion of …

Nowadays, building ontologies is a time consuming task since they are mainly manually
built. This makes hard the full realization of the Semantic Web view. In order to overcome …

The exponential growth of Internet traffic gives no respite to the telecommunications industry
and is visibly shortening the life-cycle of the technologies used for core networking. To cope …

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned
with deriving higher-level insights from data. The tasks performed in this field are knowledge …

In many Semantic Web domains a tremendous number of statements (expressed as triples)
can potentially be true but, in a given domain, only a small number of statements is known to …