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Lecture Notes in Computer Science
The recent rise of smart applications has drawn interest to logical reasoning over data streams. Different query languages and stream processing/reasoning engines were proposed. However, due to a lack of theoretical foundations, the expressivity and semantics of these diverse approaches were only informally discussed. Towards clear specifications and means for analytic study, a formal framework is needed to characterize their semantics in precise terms. We present LARS, a Logic-based frameworkdoi:10.1007/978-3-319-73117-9_6 fatcat:cuoyik4yvfg6rp6rnbynljpbhm