Towards Ontology-Based Event Processing

Tommasini, Riccardo; Bonte, Pieter; Valle, Emanuele Della; Mannens, Erik; Turck, Filip De; Ongenae, Femke

doi:10.1007/978-3-319-54627-8_9

Cited by 10 publications

(9 citation statements)

References 7 publications

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“…In this paper, we studied the foundation of Ontology-Based Event Processing (OBEP) [18]: an approach for event definition and detection on RDF Streams.…”

Section: Discussionmentioning

confidence: 99%

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A Query Model for Ontology-Based Event Processing over RDF Streams

Tommasini

Bonte

Valle

et al. 2018

Lecture Notes in Computer Science

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Stream Reasoning (SR) envisioned, investigated and proved the possibility to make sense of streaming data in real-time. Now, the community is investigating more powerful solutions, realizing the vision of expressive stream reasoning. Ontology-Based Event Processing (OBEP) is our contribution to this field. OBEP combines Description Logics and Event Recognition Languages. It allows describing events either as logical statements or as complex event patterns, and it captures their occurrences over ontology streams. In this paper, we define OBEP's query model, we present a language to define OBEP queries, and we explain the language semantics.

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“…In this paper, we studied the foundation of Ontology-Based Event Processing (OBEP) [18]: an approach for event definition and detection on RDF Streams.…”

Section: Discussionmentioning

confidence: 99%

“…In this paper, we investigate the foundations of Ontology-Based Event Processing (OBEP) [18]. OBEP enables event detection over RDF Streams without neglecting events first-class nature.…”

Section: Introductionmentioning

confidence: 99%

A Query Model for Ontology-Based Event Processing over RDF Streams

Tommasini

Bonte

Valle

et al. 2018

Lecture Notes in Computer Science

Self Cite

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“…All the ontologies mentioned in the previous lines, and many others available for research and usage in the World Wide Web, have the common goal of overcoming a fragmented world, where every solution cannot easily communicate with the one developed in the nearby office [38]. This well known nightmare of IoT researchers is analyzed in [39], for instance, listing the causes of fragmentation of IoT (e.g., the coexistence of resource constrained and rich devices in environments).…”

Section: Related Workmentioning

confidence: 99%

Building the Semantic Web of Things Through a Dynamic Ontology

Antoniazzi

Viola

2019

IEEE Internet Things J.

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“…These operators do not provide the nesting over a set of events as described for CEP systems [5,37]. This leads to a design where the semantics of temporal operators and SPARQL graph patterns are mixed, hence it can be devious to extend it and construct advanced event processing patterns [46].…”

Section: Semantic Cep Systemsmentioning

confidence: 99%

A query language for semantic complex event processing: Syntax, semantics and implementation

Gillani

Zimmermann

Picard

et al. 2018

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The field of Complex Event Processing (CEP) relates to the techniques and tools developed to efficiently process pattern-based queries over data streams. The Semantic Web, through its standards and technologies, is in constant pursue to provide solutions for such paradigm while employing the RDF data model. The integration of Semantic Web technologies in this context can handle the heterogeneity, integration and interpretation of data streams at semantic level. In this paper, we propose and implement a new query language, called SPA , that extends SPARQL with new Semantic Complex Event Processing (SCEP) operators that can be evaluated over RDF graph-based events. The novelties of SPA includes (i) the separation of general graph pattern matching constructs and temporal operators; (ii) the support for RDF graph-based events and multiple RDF graph streams; and (iii) the expressibility of temporal operators such as Kleene+, conjunction, disjunction and event selection strategies; and (iv) the operators to integrate background information and streaming RDF graph streams. Hence, SPA enjoys good expressiveness compared with the existing solutions. Furthermore, we provide an efficient implementation of SPA using a non-deterministic automata (NFA) model for an efficient evaluation of the SPA queries. We provide the syntax and semantics of SPA and based on this, we show how it can be implemented in an efficient manner. Moreover, we also present an experimental evaluation of its performance, showing that it improves over state-of-the-art approaches.

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Towards Ontology-Based Event Processing

Cited by 10 publications

References 7 publications

A Query Model for Ontology-Based Event Processing over RDF Streams

A Query Model for Ontology-Based Event Processing over RDF Streams

Building the Semantic Web of Things Through a Dynamic Ontology

A query language for semantic complex event processing: Syntax, semantics and implementation

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