Data streams occur in a variety of modern applications. Specialized Stream Database Management Systems proved to be an optimal solution for on the y analysis of data streams, but they cannot perform complex reasoning tasks that requires to combine the streaming data with less time variant knowledge. At the same time, while reasoners are year after year scaling up in the classical, time invariant domain of ontological knowledge, reasoning upon rapidly changing information has been neglected or forgotten. We hereby propose stream reasoning - an unexplored, yet high impact, research area - as the new multi-disciplinary approach which will provide the abstractions, foundations, methods, and tools required to integrate data streams and reasoning systems. In particular the focus of this paper is to sketch the research chapters of Stream Reasoning.
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2009|