SITRUS: Semantic Infrastructure for Wireless Sensor Networks

Bispo, Kalil Araujo; Rosa, Nelson Souto; Cunha, Paulo Roberto Freire

doi:10.3390/s151127436

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…In recent framework approaches, researchers propose (Lohr et al, 2015;Bispo et al, 2015) to combine middleware solutions with semantic techniques, because it provides fully interoperable, flexible, and scalable architectures for IoT applications in AAL context. SMArc (Rodríguez-Molina and et al, 2013), OM2M (Alaya and et al, 2014), and OpenIoT (Kim and Lee, 2014), are examples of these frameworks.…”

Section: Iot-based Framework Solutions In Aalmentioning

confidence: 99%

A scalable semantic framework for IoT healthcare applications

Zgheib

Kristiansen

Conchon

et al. 2020

J Ambient Intell Human Comput

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: Iot-based Framework Solutions In Aalmentioning

confidence: 99%

A scalable semantic framework for IoT healthcare applications

Zgheib

Kristiansen

Conchon

et al. 2020

J Ambient Intell Human Comput

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“…The seven-step methodology proposed by Noy and McGuinness of Stanford University [37] was applied in this study. The seven-step methodology has been widely used [38][39][40][41][42][43] and is closely integrated with the ontology construction software Protégé [34]. Therefore, it was also used in modeling the RSISO ontology.…”

Section: Procedures Of Ontology Modelingmentioning

confidence: 99%

An Ontology-Based Framework for Integrating Remote Sensing Imagery, Image Products, and In Situ Observations

Chao

Zhuo

et al. 2020

Journal of Sensors

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Along with the rapid development of remote sensing satellites and sensor network technology, vast amounts of remote sensing imagery and in situ observations have been accumulated. Further, various researchers and agencies have released a variety of thematic image products. These heterogeneous observations are therefore difficult to utilize comprehensively. In this study, an ontology-based framework for integrating remote sensing imagery, image products, and in situ observations was developed. It was extended based on the Semantic Sensor Network (SSN) ontology in the Web Ontology Language (OWL). The detailed process of ontology construction and rule establishment was demonstrated. Combined with some actual remote sensing imagery, image products, and in situ observations, semantic queries based on DL Query and SPARQL were conducted to establish the rationality and feasibility of the ontology and framework.

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“…Namely, SITRUS, EnTimid and xAAL middleware proposals. Bispo et al propose SITRUS (Semantic Infrastructure for Wireless Sensor Networks) in [17]. Beside a MOM communication model, authors rely on ontology as semantic description processing module whose purpose is to generate a semantic database that provides the basis to decide whether a WSN node needs to be reconfigured or not.…”

Section: Overview On Existing Semantic Middleware Architecturesmentioning

confidence: 99%

Semantic Middleware Architectures for IoT Healthcare Applications

Conchon¹,

Bastide²

2019

Lecture Notes in Computer Science

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The adoption of the Internet of Things (IoT) in healthcare has received considerable interest in the past decade. Indeed, IoT-based solutions are poised to transform how we keep people safe and healthy especially as the demand for solutions to lower healthcare costs increases in the coming years. However, the heterogeneity of the things that can be connected in such environments makes interoperability among them a challenging problem. Moreover, the observations produced by these things are made available with various vocabularies and data formats. This heterogeneity prevents generic solutions from being adopted on a global scale and makes difficult to share and reuse data for other purposes than those for which they were initially set up. In this book chapter, we provide an overview of the different solutions from both technical and semantic perspectives that have been used recently to tackle the interoperability issue in such IoT environments and especially in healthcare domain. We also present an overview of semantic middleware solutions that have combined the technical and semantic techniques for a complete interoperable solution.

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SITRUS: Semantic Infrastructure for Wireless Sensor Networks

Cited by 9 publications

References 27 publications

A scalable semantic framework for IoT healthcare applications

A scalable semantic framework for IoT healthcare applications

An Ontology-Based Framework for Integrating Remote Sensing Imagery, Image Products, and In Situ Observations

Semantic Middleware Architectures for IoT Healthcare Applications

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