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2017 | OriginalPaper | Buchkapitel

Towards Ontology-Based Event Processing

verfasst von : Riccardo Tommasini, Pieter Bonte, Emanuele Della Valle, Erik Mannens, Filip De Turck, Femke Ongenae

Erschienen in: OWL: Experiences and Directions – Reasoner Evaluation

Verlag: Springer International Publishing

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Abstract

The rapid change and heterogeneity of today’s generated data calls for real-time decision making systems that can cope with the presented heterogeneity. In this paper, we present an Ontology Based Event Processing system that bridges the gap between ontology-based reasoning and event processing. We propose both a language and an architecture to perform event processing over abstract ontology concepts. This allows to perform efficient temporal reasoning, while the high-level ontological definitions reduce the need for knowledge of the underlying data structure in complex domains.

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Fußnoten
2
The semantics of these operators is similar to a left, right or full -join but their selectivity depends on how the constituents are temporally related.
 
4
Not can be used only as a combination of other patterns.
 
6
The code is part of the new version of MASSIF platform which is not yet available as open source. A stand alone version will be published at https://​github.​com/​IBCNServices/​OBEP.
 
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Metadaten
Titel
Towards Ontology-Based Event Processing
verfasst von
Riccardo Tommasini
Pieter Bonte
Emanuele Della Valle
Erik Mannens
Filip De Turck
Femke Ongenae
Copyright-Jahr
2017
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-54627-8_9