A Lightweight Semantic Web-based Approach for Data Annotation on IoT Gateways

Al-Osta, Mahmud; Bali, Ahmed; Gherbi, Abdelouahed

doi:10.1016/j.procs.2017.08.339

Cited by 25 publications

(5 citation statements)

References 8 publications

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“…4 The database manager defines the appropriate tables for different types of data and predefined operations such as the "add sensor measurement" which stores the measurement of a sensor, the "delete sensor measurement" for deletion of a specific sensor, the "return sensors" that returns the identifier of a sensor. The "data encryption and decryption" is a component that runs on top of local storage for decod- 46 https://www.sqlite.org/index.html ing/encoding data based on the Advanced Encryption Standard (AES). Finally, the SQLite database 47 includes tables such as the "user device" comprised of the user id and the paired device (email and device registration id), the "user rules" that includes the user id (email) and sensors (device name id) along with the rule thresholds, the "sensor measures" that store data locally in case of failure in communication.…”

Section: Methodsmentioning

confidence: 99%

Internet of Things as a Service (iTaaS): Challenges and solutions for management of sensor data on the cloud and the fog

et al. 2018

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Building upon cloud, IoT and smart sensors technologies we design and develop an IoT as a Service (iTaaS) framework, that transforms a user device (e.g. a smart phone) to an IoT gateway that allows for fast and efficient data streams transmission to the cloud. We develop a twofold solution, based on micro-services for the IoT (users' smart devices) and the cloud side (back-end services). iTaaS includes configurations for (a) the IoT side to support data collection from IoT devices to a gateway on a real time basis and, (b) the cloud back-end side to support data sharing, storage and processing. iTaaS provides the technology foreground to enable immediate application deployments in the domain of interest. An obvious and promising implementation of this technology is e-Health and remote health monitoring. As a proof of concept we implement a real time remote patient monitoring system that integrates the proposed framework and uses BLE pulse oximeter and heart rate monitoring sensing devices. The experimental analysis shows fast data collection, as

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Section: Methodsmentioning

confidence: 99%

Internet of Things as a Service (iTaaS): Challenges and solutions for management of sensor data on the cloud and the fog

et al. 2018

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“…They differ not only in their expressivity, but also in their corresponding processing-related energy consumption [ 78 ]; this is important, as environmental and physiological sensing often takes place in real-time under resource-constraints in edge computing [ 79 ].…”

Section: Applications In Ubiquitous Sensingmentioning

confidence: 99%

Semantic Data Mining in Ubiquitous Sensing: A Survey

Nalepa

Bobek

Kutt

et al. 2021

Sensors

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Mining ubiquitous sensing data is important but also challenging, due to many factors, such as heterogeneous large-scale data that is often at various levels of abstraction. This also relates particularly to the important aspects of the explainability and interpretability of the applied models and their results, and thus ultimately to the outcome of the data mining process. With this, in general, the inclusion of domain knowledge leading towards semantic data mining approaches is an emerging and important research direction. This article aims to survey relevant works in these areas, focusing on semantic data mining approaches and methods, but also on selected applications of ubiquitous sensing in some of the most prominent current application areas. Here, we consider in particular: (1) environmental sensing; (2) ubiquitous sensing in industrial applications of artificial intelligence; and (3) social sensing relating to human interactions and the respective individual and collective behaviors. We discuss these in detail and conclude with a summary of this emerging field of research. In addition, we provide an outlook on future directions for semantic data mining in ubiquitous sensing contexts.

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“…A hybrid approach is proposed by Svetashova et al in Reference 100, combining the BIG IoT semantic model and the resulting knowledge graph. Their system implements a new user‐defined semantic definition for representing data and service on‐the‐fly with the help of data exchange platform.Al‐Osta et al 99 proposes a light‐weight semantic web‐based approach (LW‐SW) using a resource‐constrained IoT gateway for limited number of sensors. Their model is suitable for constrained IoT devices.…”

Section: Semantic Interoperability In Iot and Its Possible Research Imentioning

confidence: 99%

“…Al‐Osta et al 99 proposes a light‐weight semantic web‐based approach (LW‐SW) using a resource‐constrained IoT gateway for limited number of sensors. Their model is suitable for constrained IoT devices.…”

Section: Semantic Interoperability In Iot and Its Possible Research Imentioning

confidence: 99%

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

Rahman

Hussain

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) is highly heterogeneous in terms of devices, communication technologies, protocols, data formats, and semantics. Data generated from various sources are represented using different semantics. It makes semantic interoperability as one of the significant issues in provisioning seamless communication and services over diverse IoT platforms. Semantic models help in exchanging semantically annotated information among such heterogeneous applications in a meaningful way. Seamless communication among different types of applications is commonly accomplished by using middleware, ontology, and semantic web technologies. In this paper, we present a comprehensive survey of different semantic interoperability solutions in the context of IoT. The pivotal semantic models available in the literature are compared with the help of a classification framework. This study identifies various open research issues and challenges for facilitating interoperable IoT communications. For the purpose of implementation and performance evaluation of various semantic models, we also suggest some important tools and frameworks. After pointing out different prospects and problems of the existing semantic interoperability schemes, the factors for improvement are identified indicating future research directions.

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A Lightweight Semantic Web-based Approach for Data Annotation on IoT Gateways

Cited by 25 publications

References 8 publications

Internet of Things as a Service (iTaaS): Challenges and solutions for management of sensor data on the cloud and the fog

Internet of Things as a Service (iTaaS): Challenges and solutions for management of sensor data on the cloud and the fog

Semantic Data Mining in Ubiquitous Sensing: A Survey

A comprehensive survey on semantic interoperability for Internet of Things: State‐of‐the‐art and research challenges

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