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Architectural Concerns for Constrained Stream Reasoning

Authors :
Médini, Lionel
Bento, Alexandre
Atemezing, Ghislain
Singh, Kamal
Laforest, Frédérique
Traces, Web, Education, Adaptation, Knowledge (TWEAK)
Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS)
Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-École Centrale de Lyon (ECL)
Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Université Lumière - Lyon 2 (UL2)
Mondeca
Laboratoire Hubert Curien [Saint Etienne] (LHC)
Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS)
ANR-19-CE23-0012,CoSWoT,Web Sémantique des Objets Contraints(2019)
Source :
Stream Reasoning Workshop, Stream Reasoning Workshop, Oct 2021, Milan, Italy
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; Semantic Web Reasoning on streaming data is a challenging issue, especially on constrained devices on the Web of Things. In this position paper, we propose some architectural clues to deploy reasoning on such devices in fog or edge paradigms, compliant with the W3C WoT specification. In particular, we discuss both an asynchronous architecture and a less resource-consuming synchronous one.

Details

Language :
English
Database :
OpenAIRE
Journal :
Stream Reasoning Workshop, Stream Reasoning Workshop, Oct 2021, Milan, Italy
Accession number :
edsair.dedup.wf.001..93ea9156fd1275c719f89fe61a8f4494