Run-time composite event recognition

A. Artikis, M. Sergot, G. Paliouras
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引用次数: 40

Abstract

Events are particularly important pieces of knowledge, as they represent activities of special significance within an organisation: the automated recognition of events is of utmost importance. We present RTEC, an Event Calculus dialect for run-time event recognition and its Prolog implementation. RTEC includes a number of novel techniques allowing for efficient run-time recognition, scalable to large data streams. It can be used in applications where data might arrive with a delay from, or might be revised by, the underlying event sources. We evaluate RTEC using a real-world application.
运行时复合事件识别
事件是特别重要的知识片段,因为它们代表了组织中具有特殊意义的活动:事件的自动识别是至关重要的。我们提出了RTEC,一种用于运行时事件识别的事件演算方言及其Prolog实现。RTEC包括许多新颖的技术,允许有效的运行时识别,可扩展到大型数据流。它可以用于数据可能延迟到达底层事件源或被底层事件源修改的应用程序。我们使用实际应用来评估RTEC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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