A Universal Ontology for Sensor Networks Data

Eid, Mohamad; Liscano, Ramiro; Saddik, A. El

doi:10.1109/cimsa.2007.4362539

Cited by 94 publications

(72 citation statements)

References 1 publication

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“…ii) Features Extraction Phase Feature extraction is another technique used widely for data reduction where the number of features of data are large and mostly correlated to each other. Feature extraction enables to extract most relevant and uncorrelated features in order to perform optimum analysis [28].…”

Section: I) Dimensionality Reduction Phasementioning

confidence: 99%

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

Rozik¹,

Tolba²,

El-Dosuky³

2016

AIT

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Nowadays, we experience an abundance of Internet of Things middleware solutions that make the sensors and the actuators are able to connect to the Internet. These solutions, referred to as platforms to gain a widespread adoption, have to meet the expectations of different players in the IoT ecosystem, including devices [1]. Low cost devices are easily able to connect wirelessly to the Internet, from handhelds to coffee machines, also known as Internet of Things (IoT). This research describes the methodology and the development process of creating an IoT platform. This paper also presents the architecture and implementation for the IoT platform. The goal of this research is to develop an analytics engine which can gather sensor data from different devices and provide the ability to gain meaningful information from IoT data and act on it using machine learning algorithms. The proposed system is introducing the use of a messaging system to improve the overall system performance as well as provide easy scalability.

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Section: I) Dimensionality Reduction Phasementioning

confidence: 99%

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

Rozik¹,

Tolba²,

El-Dosuky³

2016

AIT

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“…Indeed it is standard practice to use ontologies to model sensors, their domains, and sensor data repositories [2,13,14]. Some projects even go a step further and also include context information [4], or service descriptions [1][2][3].…”

Section: Related Workmentioning

confidence: 99%

Service Oriented Middleware for the Internet of Things: A Perspective

Teixeira

Hachem

Issarny

et al. 2011

Towards a Service-Based Internet

104

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Abstract. The Internet of Things plays a central role in the foreseen shift of the Internet to the Future Internet, as it incarnates the drastic expansion of the Internet network with non-classical ICT devices. It will further be a major source of evolution of usage, due to the penetration in the user's life. As such, we envision that the Internet of Things will cooperate with the Internet of Services to provide users with services that are aware of their surrounding environment. The supporting service-oriented middleware shall then abstract the functionalities of Things as services as well as provide the needed interoperability and flexibility, through a loose coupling of components and composition of services. Still, core functionalities of the middleware, namely service discovery and composition, need to be revisited to meet the challenges posed by the Internet of Things. Challenges in particular relate to the ultra large scale, heterogeneity and dynamics of the Internet of Things that are far beyond the ones of today's Internet of Services. In addition, new challenges also arise, pertaining to the physical-world aspect that is central to the IoT. In this paper, we survey the major challenges posed to service-oriented middleware towards sustaining a service-based Internet of Things, together with related state of the art. We then concentrate on the specific solutions that we are investigating within the INRIA ARLES project team as part of the CHOReOS European project, discussing new approaches to overcome the challenges particular to the Internet of Things.

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“…They differ in their main purposes. For example, [12,13] focused on the sensor data while [14,15] concentrated on the role of stimuli, observed properties or processes. MMI focus more on systems rather than measurements or sensor types [16].…”

Section: Sensor Descriptionmentioning

confidence: 99%

Sensor Resource Sharing Approaches in Sensor-Cloud Infrastructure

Lim

Park

2014

International Journal of Distributed Sensor Networks

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Generally, wireless sensor networks have been designed to support predefined application services. The tight coupling between a network and application limits the usability of sensor data. To increase the utilities of wireless sensor networks, sensor-cloud infrastructure has been proposed to provide an open and flexible platform to gather, store, use, and share data from heterogeneous sensors. In this paper, we introduce sensor-cloud infrastructure and present not only comprehensive technical issues like sensor description and publish/subscribe middleware but also applications using sensor-cloud infrastructure. When the issues are tackled in the development of sensor-cloud system, the attractiveness of new applications and services will considerably be increased for end users.

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A Universal Ontology for Sensor Networks Data

Cited by 94 publications

References 1 publication

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

Design and Implementation of the Sense Egypt Platform for Real-Time Analysis of IoT Data Streams

Service Oriented Middleware for the Internet of Things: A Perspective

Sensor Resource Sharing Approaches in Sensor-Cloud Infrastructure

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