The Semantic Complex Event Processing Based on Metagraph Approach

Abstract

In this paper, the features of semantic complex event processing (SCEP) approach based on the metagraph model is considered. The idea of event and event processing is one of the fundamental ideas in the fields of complex systems and software engineering. The definitions and descriptions of Complex Event Processing (CEP) and semantic complex event processing (SCEP) are reviewed and summed up. Semantic Web technologies are typically used for semantics description in SCEP approach. Complex event processing combines data from multiple sources. Complex event processing engine may include several processing levels, and semantic complex events may be enriched during processing. The goal of complex event processing is to identify meaningful events (such as opportunities or threats) in the form of the complex situation. Complex event processing engine may use global ontology and static and dynamic semantics. The RDF approach has limitations in describing complex situations, while the metagraph approach addresses RDF limitations in a natural way without emergence loss. The metagraph model is used as a unified model for semantic events description (static and dynamic semantics), complex situation description, global ontology description. Using the combination of the metagraph data model and metagraph agents model it is possible to construct the complex semantic event processing engine in the form of the hierarchy of dynamic metagraph agents.