ECA-RuleML：一种结合ECA规则、基于时间间隔的KR事件/动作逻辑和事务更新逻辑的方法
ECA-RuleML: An Approach combining ECA Rules with temporal interval-based KR Event/Action Logics and Transactional Update Logics
摘要：
事件驱动架构（EDA）中需要解决的一个重要问题是如何正确有效地捕获和处理基于事件/动作的逻辑。本文致力于弥合之间的差距的知识表示（KR）方法的基础上持久的事件/动作和事件演算等形式主义，一方面，和事件-条件-动作（ECA）反应规则扩展的主动数据库的方法，查看事件的瞬时发生和/或事件序列，另一方面。我们提出了基于反应规则（ECA规则）和一种新的基于间隔的事件逻辑的形式主义，并提出了具体的基于规则ML的语法，语义和实现。我们进一步评估这种方法的理论，实验和一个例子来自常见的行业用例，并说明其好处。
英文摘要：
An important problem to be addressed within Event-Driven Architecture (EDA) is how to correctly and efficiently capture and process the event/action-based logic. This paper endeavors to bridge the gap between the Knowledge Representation (KR) approaches based on durable events/actions and such formalisms as event calculus, on one hand, and event-condition-action (ECA) reaction rules extending the approach of active databases that view events as instantaneous occurrences and/or sequences of events, on the other. We propose formalism based on reaction rules (ECA rules) and a novel interval-based event logic and present concrete RuleML-based syntax, semantics and implementation. We further evaluate this approach theoretically, experimentally and on an example derived from common industry use cases and illustrate its benefits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
