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 increasing availability of structured data in (RDF) format poses new challenges and
opportunities for data mining. Existing approaches to mining RDF have only focused on one …

In this paper we introduce an approximation of the Weisfeiler-Lehman graph kernel
algorithm aimed at improving the computation time of the kernel when applied to Resource …

Abstract The realization of Semantic Web reasoning is central to substantiating the Semantic
Web vision. However, current mainstream research on this topic faces serious challenges …

We propose a general framework to incorporate first-order logic (FOL) clauses, that are
thought of as an abstract and partial representation of the environment, into kernel machines …

This paper presents a new data classification approach which is based on the one hand on
deep learning neural networks for effectively extracting well defined categorical information …

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 …

Ontology reasoning is typically a computationally intensive operation. While soundness and
completeness of results is required in some use cases, for many others, a sensible trade-off …

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 …