In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...
Abstract. In this paper we propose a model that allows agents to deliberate using defeasible argumentation, to share knowledge with other agents, and to represent individual knowle...
: Product data, information and knowledge are the core ICT resources for collaborative design. This paper describes five different approaches to exchanging and sharing product data...
— Reconfigurable computing (RC) systems, coupling general purpose processor with reconfigurable components, offer a lot of advantages. Nevertheless, currently a designer needs ...
Yana Yankova, Koen Bertels, Stamatis Vassiliadis, ...