AIICS

Daniel de Leng

Research

My main research interest lies in on-demand knowledge acquisition for grounded spatio-temporal stream reasoning through collaboration and the semantic web. Work towards this area is integrated into the stream processing middleware framework DyKnow, for which I am one of the developers. Thus far we have focused on spatio-temporal stream reasoning techniques with adaptive state stream generation. This makes it possible to continue stream reasoning tasks even when the underlying stream-generating configuration changes over time. This is important in situations where agents or resources perform long-term tasks during which they may become available or unavailable.