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Time to the Rescue - Supporting TemporalReasoning in the Rete Algorithm for Complex Event Processing

机译:救援时间-复杂事件处理Rete算法中的支持时间推理

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Complex event processing is an important technology with possible application in supply chain management and business activity monitoring. Its basis is the identification of event patterns within multiple occurring events having logical, causal or temporal relationships. The Rete algorithm is commonly used in rule-based systems to trigger certain actions if a corresponding rule holds. The algorithm's good performance for a high number of rules makes it ideally suited for complex event detection. However, the traditional Rete algorithm does not support aggregation of values in time-based windows although this is a common requirement in complex event processing for business applications. We propose an extension of the Rete algorithm to support temporal reasoning, namely the detection of time-based windows by adding a time-enabled beta-node to restrict event detection to a certain time-frame.
机译:复杂事件处理是一项重要技术,可能会应用于供应链管理和业务活动监视。它的基础是识别具有逻辑,因果或时间关系的多个发生事件中的事件模式。如果有相应的规则成立,则Rete算法通常用于基于规则的系统中,以触发某些操作。该算法对大量规则的良好性能使其非常适合复杂事件检测。但是,传统的Rete算法不支持基于时间的窗口中的值聚合,尽管这是业务应用程序复杂事件处理中的常见要求。我们提出了Rete算法的扩展,以支持时间推理,即通过添加启用时间的beta节点将事件检测限制在特定时间范围内,从而对基于时间的窗口进行检测。

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