NGSI-LD is an open specification released by ETSI which proposes an information model and an API for an easy to use and standard management of context information. The NGSI-LD information model is framed within an ontology and adopts JSON-LD as serialization format for context information. This paper presents an approach to the implementation of the NGSI-LD specification over a SPARQL Event Processing Architecture. This work is being developed within the European-Brasilian H2020 SWAMP project focused on implementing an Internet of Things platform providing services for smart water management in agriculture.

Viola, F., Antoniazzi, F., Aguzzi, C., Kamienski, C., Roffia, L. (2019). Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines [10.23919/FRUCT.2019.8711888].

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Viola, Fabio
Investigation
;
Antoniazzi, Francesco
Investigation
;
Aguzzi, Cristiano
Investigation
;
Roffia, Luca
Conceptualization
2019

Abstract

NGSI-LD is an open specification released by ETSI which proposes an information model and an API for an easy to use and standard management of context information. The NGSI-LD information model is framed within an ontology and adopts JSON-LD as serialization format for context information. This paper presents an approach to the implementation of the NGSI-LD specification over a SPARQL Event Processing Architecture. This work is being developed within the European-Brasilian H2020 SWAMP project focused on implementing an Internet of Things platform providing services for smart water management in agriculture.
2019
Proceedings of the 24th Conference of Open Innovations Association (FRUCT)
493
501
Viola, F., Antoniazzi, F., Aguzzi, C., Kamienski, C., Roffia, L. (2019). Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines [10.23919/FRUCT.2019.8711888].
Viola, Fabio; Antoniazzi, Francesco; Aguzzi, Cristiano; Kamienski, Carlos; Roffia, Luca
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/698548
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