IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Approach to Data Annotation for Internet of Things

An Approach to Data Annotation for Internet of Things
View Sample PDF
Author(s): Ivaylo Atanasov (Technical University of Sofia, Bulgaria), Anastas Nikolov (Technical University of Sofia, Bulgaria), Evelina Pencheva (Technical University of Sofia, Bulgaria), Rozalina Dimova (Technical University of Varna, Bulgaria)and Martin Ivanov (Technical University of Varna, Bulgaria)
Copyright: 2020
Pages: 20
Source title: Securing the Internet of Things: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-9866-4.ch062

Purchase

View An Approach to Data Annotation for Internet of Things on the publisher's website for pricing and purchasing information.

Abstract

The increasing number of connected devices which use Internet of Things (IoT) technology and variety of associated services is a real challenge to interoperability. There is a need of an abstraction layer which hides the technology heterogeneity. The paper presents an approach to data modeling in the domain of home energy saving which extends existing solutions with context-ware concepts and relationships. Requirements to data annotation are identified by use cases. Problem-solving principle is applied to data annotation which defines the vocabulary related to a certain task or activities. An observation and actuation models which show how data annotation works are proposed and formally verified. As a proof of concept, the server model includes web services that illustrate the usage of the proposed data annotation. The potential of home appliance power control is estimated.

Related Content

Nalini M.. © 2023. 22 pages.
Balachandar S., Chinnaiyan R.. © 2023. 19 pages.
V. A. Velvizhi, G. Senbagavalli, S. Malini. © 2023. 29 pages.
Amuthan Nallathambi, Kannan Nova. © 2023. 25 pages.
Amuthan Nallathambi, Sivakumar N., Velrajkumar P.. © 2023. 17 pages.
Nayana Hegde, Sunilkumar S. Manvi. © 2023. 18 pages.
Udayakumar K., Ramamoorthy S., Poorvadevi R.. © 2023. 26 pages.
Body Bottom