Extending W3C Thing Description to Provide Support for Interactions of Things in Real-Time

Flores-Martín, Daniel; Berrocal, Javier; Garcí­a-Alonso, José; Murillo, Juan Manuel

doi:10.1007/978-3-030-65665-2_4

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…TD is highly aligned and can be enriched with other semantic vocabularies to maximize its interoperability and usability. Tools [62] and extending works [20] [33] have been actively developed in recent years. However, as discussed above, TD improves the interactions between things but does not further investigate the internal logic of on-devices applications, which results in diiculties in the uniied management of hardware and software in a distributed IoT network.…”

Section: Semantic Web Of Thingsmentioning

confidence: 99%

Towards Semantic Management of On-Device Applications in Industrial IoT

Ren

Anicic

Runkler

2022

ACM Trans. Internet Technol.

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The Internet of Things (IoT) is revolutionizing the industry. Powered by pervasive embedded devices, the Industrial IoT (IIoT) provides a unique solution for retrieving and analyzing data near the source in real-time. Many emerging techniques, such as Tiny Machine Learning (TinyML) and Complex Event Processing (CEP), are actively being developed to support decision making at the edge, shifting the paradigm from centralized processing to distributed computing. However, distributed computing presents management challenges, as IoT devices are diverse and constrained, and their number is growing exponentially. The situation is even more challenging when various on-device applications (so-called artifacts) are deployed across decentralized IoT networks. Questions to be addressed include how to discover an appropriate function, whether that function can be executed on a certain device, and how to orchestrate a cross-platform service. To tackle these challenges, we propose an approach for the scalable management of on-device applications among distributed IoT devices. By leveraging the W3C Web of Things (WoT), the capabilities of each IoT device, or more precisely, its interaction patterns, can be semantically expressed in a Thing Description (TD). In addition, we introduce semantic modeling of on-device applications to supplement an TD with additional information regarding applications on the device. Specifically, we demonstrate two examples of semantic modeling: neural networks (NN) and CEP rules. The ontologies are evaluated by answering a set of competency questions. By hosting the enriched semantic knowledge of the entire IoT system in a Knowledge Graph (KG), we can discover and interoperate edge devices and artifacts across the decentralized network. This can reduce fragmentation and increase the reusability of IoT components. We demonstrate the feasibility of our concept on an industrial workstation consisting of a conveyor belt and several IoT devices. Finally, the requirements for constructing an IoT semantic management system are discussed.

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Section: Semantic Web Of Thingsmentioning

confidence: 99%

Towards Semantic Management of On-Device Applications in Industrial IoT

Ren

Anicic

Runkler

2022

ACM Trans. Internet Technol.

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“…It allows the developer to define smart devices using an standard based on the format JSON-LD (JavaScript Object Notation for Linked Data), detailing their id, title, security or properties. However, the W3C-TD does not provide support for collaboration between entities [21]. Therefore, we propose to extend it with two sub-classes to support the definition of objectives and situations:…”

Section: Entity Descriptionmentioning

confidence: 99%

Towards dynamic and heterogeneous social IoT environments

et al. 2022

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Nowadays, there are millions of smart devices connected to the Internet. The purpose of these devices is to make people’s lives easier. Thanks to the collaboration among them, the possibilities that the Internet of Things brings can grow exponentially. However, many manufacturers develop closed protocols and devices to protect their market share, limiting in many ways this collaboration. This paper presents a conceptual architecture that improves the proactive collaboration between IoT devices regardless of the protocols developed by their manufacturers. This architecture aims to identify entities in smart environments, describe their features and interfaces, and identify strategies fostering their collaborations. As a result, devices from different manufacturers can communicate to create a collaborative environment in a simple, efficient, and affordable way. This architecture has been evaluated in a real and a simulated environment, to validate its feasibility and efficiency.

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“…However, for the system to function properly, Internet connectivity is required, which means that on lathes with limited connectivity this system cannot be properly leveraged. In addition, in [34] a solution based on W3C Thing Description is proposed for the definition of people's information. This solution uses mobile devices to store personal information so that only they are the owners of their data and decide with whom to share it.…”

Section: Related Workmentioning

confidence: 99%

Identification and Visualization of a Patient’s Medical Record via Mobile Devices without an Internet Connection

Laso¹,

Flores-Martín

Herrera

et al. 2022

Electronics

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Nowadays, people’s medical records are crucial when it comes to providing treatments, discovering pathologies, or keeping track of health status. Advances in technology have allowed these records to be increasingly digitized, to the point that they can be consulted by specialists from anywhere. This also allows people to report their health status, allergies, or treatments. However, knowing a person’s medical history is a delicate and complex process, and accessing these digitized data is not always possible due to problems with network connectivity or physical communication with the person. In this work, we propose a solution for medical staff to obtain a patient’s medical history through facial recognition, and without the need for an internet connection. This proposal is based on the development of an architecture that allows connecting nearby mobile devices of doctors and patients without an internet connection to obtain the desired information using facial recognition as an authentication method. The architecture has been validated with the development of a mobile application that, by focusing on the patient’s face with the camera of the doctor’s mobile device, makes it possible to obtain the patient’s medical information. With this proposal, it is possible to obtain the medical history of a person in dangerous situations or where the connectivity is limited or non-existent, in a simple and fast way.

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Extending W3C Thing Description to Provide Support for Interactions of Things in Real-Time

Cited by 5 publications

References 17 publications

Towards Semantic Management of On-Device Applications in Industrial IoT

Towards Semantic Management of On-Device Applications in Industrial IoT

Towards dynamic and heterogeneous social IoT environments

Identification and Visualization of a Patient’s Medical Record via Mobile Devices without an Internet Connection

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