We study the dynamics of information change, using modal logic as a vehicle. Our semantic perspective is that of a supermodel in which a state represents some agent's informa...
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common representation including multi-level ...
Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, ...
The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distri...
Abstract. A theoretical model for agents interaction to study semantic heterogeneity is proposed. The context of this study is informational agents with knowledge bases that are he...