It's a Streaming World! Reasoning upon Rapidly Changing Information

Data Streams occur in a variety of modern applications such as network monitoring, traffic engineering, sensor networks, RFID tags applications, telecom call records, medical records, financial applications, Web logs, click-streams. Even on the Web, blogs, feeds, and microblogs are increasingly adopted to distribute and present information in real-time streams. While Specialized Stream Database Management Systems - for on the fly analysis of data streams - were developed by the database community; the knowledge representation and reasoning community appears to have neglected or forgotten the problem. It is now the right time to look at it: reasoners are year after year scaling up in the classical, time invariant domain of ontological knowledge; and many application areas perceive the need to perform complex reasoning tasks that require combining streaming data with evolving knowledge. 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 agenda for those that would like to start looking at Stream Reasoning.