In this paper we present an approach for creating user infrom abstract representations for the automotive domain. The approach is based on transformations between different user ...
Guido M. de Melo, Frank Honold, Michael Weber, Mar...
This paper proposes a single-image super-resolution scheme for enlarging low quality thumbnail images widely distributed on the web, which are often generated by downsampling plus...
Mediation and integration of data are significant challenges because the number of services on the Web, and heterogeneities in their data representation, continue to increase rap...
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of f...
State-of-the-art research on automated learning of ontologies from text currently focuses on inexpressive ontologies. The acquisition of complex axioms involving logical connective...