Rule-Based Event Processing and Reaction Rules

Paschke, Adrian; Kozlenkov, Alexander

doi:10.1007/978-3-642-04985-9_8

Cited by 53 publications

(30 citation statements)

References 50 publications

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“…Formalized KR rules have increasingly been used in semantic rule-based CEP [105,79,93]. These approaches aim to improve the quality of event processing by using event meta-data in combination with ontologies and rules.…”

Section: Knowledge Representationmentioning

confidence: 99%

EVA: An event algebra supporting complex event specification

Hinze

Voisard

2015

Information Systems

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Section: Knowledge Representationmentioning

confidence: 99%

EVA: An event algebra supporting complex event specification

Hinze

Voisard

2015

Information Systems

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“…In particular, they provide the ability to reason over events, actions and their effects, and allow detecting events and responding to them automatically. A great variety of approaches have been developed for reaction rules, which have for the most part evolved separately and have defined their own domain and platform specific languages [17], [18], [19]. Novel semantics are being devised, including for the Logic-based agent and Production System language (LPS) and KELPS [20].…”

Section: Rules In Literaturementioning

confidence: 99%

Towards a Uniform Ontology-Driven Approach for Modeling, Checking and Executing WSANs

Vannucchi

Cacciagrano

Culmone

et al. 2016

2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)

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Wireless sensor and actuator networks (WSANs) refer to a group of sensors and actuators linked by wireless medium to perform distributed sensing and acting tasks. Being reactive systems, quite often WSANs are programmed by Event-Condition-Action (ECA) rule-based languages. Because of potential interactions among the rules themselves and theirsurprising effects on the system behaviour, it is quite difficult to ensure a safe behaviour of a WSAN at design time. This paper proposes a semantic-driven approach for modeling, checking and executing ECA rule-based WSANs. The approach can be considered uniform since any of the previous phases works on a common ontology-based WSAN model integrating and linking three different system views: the static one (i.e., sensor and actuator types in the WSAN, description of its environment, deployment information etc.), the dynamic one (i.e., a set of ECA rules programming the given WSAN) and the behavioural one (i.e., a finite state machine (FSM)-based representation of the WSAN behaviour w.r.t. the given dynamics). We show how the proposed approach provides an agile verification of system properties involving (and also mixing) static, dynamic and behavioural concepts. In particular, with regard to the behavioural view, we will focus on properties like consistency, correctness and termination. In order to better explain our approach, we present a home automation case study

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“…A transition of transactional updates (@safety=transaction), which leads to a set of modules in the KB, can be easily rolled-back by reverting the transition on the metadata scopes of these modules. -Complex event patterns can be defined by signature definitions using event algebra operators which are interpreted by semantics profiles (such as the interval-based event calculus event algebra [22]). -Various selection an consumption policies for event instance sequences can be defined in terms of scopes and guard constraints.…”

Section: Conclusion -Reaction Ruleml For Reaction Rulesmentioning

confidence: 99%

Reaction RuleML 1.0 for Rules, Events and Actions in Semantic Complex Event Processing

Paschke

2014

Rules on the Web. From Theory to Applications

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Abstract. Reaction RuleML is a standardized rule markup language for the representation and interchange of reaction rules. This paper gives an introduction to the core knowledge representation mechanisms of Reaction RuleML 1.0 such as multi-sorted signatures and their interpretation, action primitives for knowledge updates, interchange and testing, ordersorted external type systems and the Reaction RuleML metamodel, scopes and mode declarations, semantic profiles, imports of documents, modules and messages. These mechanisms form the basis for an adequate treatment of rules, events and actions, as needed in Semantic Complex Event Processing (SCEP), such as, interchange, translation and testing based on the intended semantics defined in semantic profiles; modularization and distribution of knowledge interfaces with their signatures defining, e.g., complex event detection patterns; closed scoped reasoning on top of scoped modules with dynamic constructive views on meta knowledge; transactional complex actions; conversation based message interchange for Question Answering (Q&A) and rule-based agent architectures such as RuleResponder, etc.

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Rule-Based Event Processing and Reaction Rules

Cited by 53 publications

References 50 publications

EVA: An event algebra supporting complex event specification

EVA: An event algebra supporting complex event specification

Towards a Uniform Ontology-Driven Approach for Modeling, Checking and Executing WSANs

Reaction RuleML 1.0 for Rules, Events and Actions in Semantic Complex Event Processing

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