Stream Reasoning refers to inference approaches and deduction mechanisms which are concerned with providing continuous inference capabilities over dynamic data. The paradigm shift from current batch-like approaches towards timely and scalable stream reasoning leverages the natural temporal order in data streams and applies windows-based processing to complex deduction tasks that go beyond continuous query processing such as those involving preferential reasoning, constraint optimization, planning, uncertainty, non-monotonicity, non-determinism, and solution enumeration.
Detail of Publication:
Encyclopedia of Database Systems 2017. Encyclopedia of Database Systems, Volume 1, 2nd Edition . Springer-Verlag, New York, USA. ISBN 9781461482666
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