Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
In this paper we present methods to generate a Description Logic (DL) theory from a given First Order Logic (FOL) theory, such that each DL axiom is entailed by the given FOL theor...
Categorisation of objects into classes is currently supported by (at least) two ‘orthogonal’ methods. In logic-based approaches, classifications are defined through ontologi...
Mikhail Sheremet, Dmitry Tishkovsky, Frank Wolter,...
Modern processors and SoCs require the adoption of poweroriented design styles, due to the implications that power consumption may have on reliability, cost and manufacturability ...
This paper describes the Resource Allocation and Control Engine (RACE) that integrates multiple resource management algorithms for (re)deploying and managing performance of applic...