Graph-based Semantic Evolution for Context Information Management Platforms

Li, Wenbin; Privat, Gilles; Cantera, José M.; Bauer, Martin; Gall, Franck Le

doi:10.1109/giots.2018.8534538

Cited by 13 publications

(3 citation statements)

References 6 publications

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“…Data model integration APIs are one of the bridge techniques used in service composition to accommodate this requirement. Examples of such techniques can be found in [152], where JSON-LD was easily integrated with other Context Information Management (CIM) platforms, and RDF/XML (Resource Description Framework) was used to integrate APIs with external XML platforms to ensure backward compatibility. XML has also been used in mPlane [25] to allow integration with external platforms using XML data models.…”

Section: ) Aq8: What Roles Do Communication Protocols Play In Composi...mentioning

confidence: 99%

IoT Capabilities Composition and Decomposition: A Systematic Review

et al. 2023

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As billions of IoT devices join the Internet, researchers and innovators increasingly explore IoT capabilities achieved via service composition or reuse of existing capabilities via service decomposition. Many systematic literature reviews (SLRs) were produced on this subject; however, two issues remain to be addressed: i) a reference taxonomy of the different aspects of IoT capabilities composition and decomposition is needed, and ii) many formal questions (e.g., standards role, formal representations applications, state-space explosion countermeasures, etc.), technical questions (e.g., composition process types and automation levels synergies, service decomposition categories, the role of AI/ML, etc.), and QoS questions (e.g., privacy, interoperability, and scalability challenges and solutions, etc.) remain unanswered. We introduce this work by discussing notions of IoT capabilities composition and decomposition in a layered IoT architecture while highlighting the strengths and weaknesses of existing SLRs. We identify unanswered questions through gaps in related work and motivate these questions using the PICOC methodology. We explain the search methodology and organize the topic questions using the proposed reference taxonomy. The identified research questions are answered, and trends and gaps that need additional attention from the research community are highlighted. This effort benefits city planners and end-users of IoT systems as it contributes to a better understanding of the role of composition and decomposition of IoT capabilities in building valueadded services or reusing existing ones for resource optimization. For researchers, this effort contributes a reference taxonomy for the topic and sheds light on important questions while highlighting corresponding trends and gaps requiring further attention.

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Section: ) Aq8: What Roles Do Communication Protocols Play In Composi...mentioning

confidence: 99%

IoT Capabilities Composition and Decomposition: A Systematic Review

et al. 2023

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“…In [9] the authors proposed an evolution framework based on four layers by combining the property graph principles and RDF-based semantic modeling. This work was the first trial around extending the NGSI-LD to bring to it a graph-based semantics.…”

Section: Related Workmentioning

confidence: 99%

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

Abid

Lee

Gall

et al. 2022

Sensors

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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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“…Therefore, in recent years, several applications have been developed adopting the FIWARE technology in different application domains including information management [13,14], Cloud resource management [15], smart mobility [16][17][18][19], smart parking [20], smart agriculture [21,22], energy [23], security [24][25][26][27], human-computer interaction [28], earthquake prevention [29], and healthcare [30].…”

Section: Introductionmentioning

confidence: 99%

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

Celesti

Fazio

Márquez

et al. 2019

JSAN

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Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects of our daily life. One of the major sectors that is taking advantage of such cutting-edge cheap smart devices is healthcare. In this context, Remote Patient Monitoring (RPM) at home represents a tempting opportunity for hospitals to reduce clinical costs and to improve the quality of life of both patients and their families. It allows patients to be monitored remotely by means networks of Internet of Things (IoT) medical devices equipped with sensors and actuators that collect healthcare data from patients and send them to a Cloud-based Hospital Information System (HIS) for processing. Up to now, many different proprietary software systems have been developed as stand-along expensive solutions, presenting interoperability, extensibility, and scalability issues. In recent years, the European Commission (EC) has promoted the wide adoption of FIWARE technology, launching 16 Industrial Accelerators focusing on different application fields. One of these, i.e., FICHe, is specialized in healthcare, providing the guidelines on how to develop eHealth systems. This paper focuses on how to compose new cutting-edge IoT and Cloud-based Cyber Physical Health Sytem (CPHS) services and applications interconnected with remote medical sensors and actuators using FIWARE technology in the context envisioned by FICHe. In particular, we discuss the design and development of an RPM system implemented through the collaboration between the Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) “Bonino Pulejo” (i.e., a clinical and research healthcare centre specialized in the treatment of neuro lesions), University of Messina, IBM Research, Telefónica, and the University of the Western Cape in South Africa. The description of our best practice provides a model and guidelines for the development of lightweight and low cost RPM services for rural and isolated areas, with the expectation of expanding healthcare to the developing world and in general allows us to outline how to deal with the real adoption of the FIWARE technology in an e-health project.

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Graph-based Semantic Evolution for Context Information Management Platforms

Cited by 13 publications

References 6 publications

IoT Capabilities Composition and Decomposition: A Systematic Review

IoT Capabilities Composition and Decomposition: A Systematic Review

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

How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt

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