ECA-RuleML: An Approach combining ECA Rules with temporal interval-based KR Event/Action Logics and Transactional Update Logics

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dc.creatorPaschke, Adrian
dc.date2006-10-30
dc.date2006-11-10
dc.date.accessioned2026-07-07T07:27:56Z
dc.date.available2026-07-07T07:27:56Z
dc.descriptionAn 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.
dc.descriptionRepublished in Paschke, A.: ECA-RuleML/ECA-LP: A Homogeneous Event-Condition-Action Logic Programming Language, Int. Conf. of Rule Markup Languages (RuleML'06), Athens, Georgia, USA, 2006
dc.identifierhttps://arxiv.org/abs/cs/0610167
dc.identifierhttp://arxiv.org/abs/cs/0610167
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/117553
dc.subjectArtificial Intelligence
dc.subjectLogic in Computer Science
dc.subjectMultiagent Systems
dc.subjectSoftware Engineering
dc.subjectI.2; H.2.4; I.2.5; I.2.4; K.6.3
dc.titleECA-RuleML: An Approach combining ECA Rules with temporal interval-based KR Event/Action Logics and Transactional Update Logics
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