This paper presents a multi-agent framework designed to simulate synthetic humans that properly balance task oriented and social behaviors. The work presented in this paper focuses...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
The development of more and more complex distributed applications over large networks of computers has raised the problem of semantic interoperability across applications based on ...
Paolo Bouquet, Bernardo Magnini, Luciano Serafini,...
Abstract. In the paper we propose a method of structuring a knowledge base into hierarchically related contexts and present how this arrangement influences the structure of TBox a...
Krzysztof Goczyla, Wojciech Waloszek, Aleksander W...
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...