The paper proposes an integrated framework which uses knowledge representation theory and languages to annotate relevant product information in a semantically rich and unambiguous ...
Michele Ruta, Floriano Scioscia, Eugenio Di Sciasc...
We present a novel reasoning procedure for Horn SHIQ ontologies--SHIQ ontologies that can be translated to the Horn fragment of first-order logic. In contrast to traditional reaso...
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...