Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
Abstract. We study the problem of instance level (ABox) updates for Knowledge Bases (KBs) represented in Description Logics of the DL-Lite family. DLLite is at the basis of OWL 2 Q...
Diego Calvanese, Evgeny Kharlamov, Werner Nutt, Dm...
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
Abstract - Up to now, there is little academic support for the challenges of IT management. As a reaction, various best practice frameworks were developed, which can be subsumed un...
Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...