Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study

A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the...

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Main Authors: Ahmed Abid, Jieun Lee, Franck Le Gall, JaeSeung Song
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/13/4798
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author Ahmed Abid
Jieun Lee
Franck Le Gall
JaeSeung Song
author_facet Ahmed Abid
Jieun Lee
Franck Le Gall
JaeSeung Song
author_sort Ahmed Abid
collection DOAJ
description A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms that exploits linked data and proposes an information model and an application programming interface (API) for easy use and standard management of context information. The NGSI-LD information model is based on JSON for Linked Data (JSON-LD) as a serialization format for context information. This efficiently exploits the potential of semantics and linked open data. However, the NGSI-LD graph API and query language are still theoretically defined and limited to some preliminary works. Consequently, current NGSI-LD implementations are mainly based on traditional databases, where the JSON-LD serialization is supported but not exploited owing to the difficulties in defining and implementing new NGSI-LD based Graph APIs. One of the basic solutions is the use of an RDF store for NGSI-LD payloads because these types of databases are well defined and maintained and will not need any added effort for JSON-LD based payloads. However, the main complication at this level is the use of reification to annotate relationships. This study focused on both aspects of exploiting the semantics of NGSI-LD by proposing standardized mapping mechanisms to RDF graphs without reifying JSON-LD payloads and with respect to the NGSI-LD context model and API. Our main proposals highlight that exploiting the RDF store for processing NGSI-LD data semantically is feasible and uncomplicated. We illustrated the proposed mapping approaches with real use-case examples and a possible exploitation of semantic approaches.
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spelling doaj.art-64a9b51d5811425e83b051a844c154552023-11-30T22:25:15ZengMDPI AGSensors1424-82202022-06-012213479810.3390/s22134798Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison StudyAhmed Abid0Jieun Lee1Franck Le Gall2JaeSeung Song3EGM, Sophia Antipolis, 06560 Valbonne, FranceDepartment of Computer Security and Convergence Engineering for Intelligent Drones, Sejong University, Gwangjin-gu, Seoul 05006, KoreaEGM, Sophia Antipolis, 06560 Valbonne, FranceDepartment of Computer Security and Convergence Engineering for Intelligent Drones, Sejong University, Gwangjin-gu, Seoul 05006, KoreaA considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms that exploits linked data and proposes an information model and an application programming interface (API) for easy use and standard management of context information. The NGSI-LD information model is based on JSON for Linked Data (JSON-LD) as a serialization format for context information. This efficiently exploits the potential of semantics and linked open data. However, the NGSI-LD graph API and query language are still theoretically defined and limited to some preliminary works. Consequently, current NGSI-LD implementations are mainly based on traditional databases, where the JSON-LD serialization is supported but not exploited owing to the difficulties in defining and implementing new NGSI-LD based Graph APIs. One of the basic solutions is the use of an RDF store for NGSI-LD payloads because these types of databases are well defined and maintained and will not need any added effort for JSON-LD based payloads. However, the main complication at this level is the use of reification to annotate relationships. This study focused on both aspects of exploiting the semantics of NGSI-LD by proposing standardized mapping mechanisms to RDF graphs without reifying JSON-LD payloads and with respect to the NGSI-LD context model and API. Our main proposals highlight that exploiting the RDF store for processing NGSI-LD data semantically is feasible and uncomplicated. We illustrated the proposed mapping approaches with real use-case examples and a possible exploitation of semantic approaches.https://www.mdpi.com/1424-8220/22/13/4798NGSI-LDsemanticsRDF graph mapping
spellingShingle Ahmed Abid
Jieun Lee
Franck Le Gall
JaeSeung Song
Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
Sensors
NGSI-LD
semantics
RDF graph mapping
title Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
title_full Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
title_fullStr Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
title_full_unstemmed Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
title_short Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study
title_sort toward mapping an ngsi ld context model on rdf graph approaches a comparison study
topic NGSI-LD
semantics
RDF graph mapping
url https://www.mdpi.com/1424-8220/22/13/4798
work_keys_str_mv AT ahmedabid towardmappinganngsildcontextmodelonrdfgraphapproachesacomparisonstudy
AT jieunlee towardmappinganngsildcontextmodelonrdfgraphapproachesacomparisonstudy
AT francklegall towardmappinganngsildcontextmodelonrdfgraphapproachesacomparisonstudy
AT jaeseungsong towardmappinganngsildcontextmodelonrdfgraphapproachesacomparisonstudy