Title: An approach to transform Internet of Things data into knowledge

Authors: Ivaylo Atanasov; Anastas Nikolov; Evelina Pencheva

Addresses: Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria ' Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria ' Faculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria

Abstract: The concept of Internet of Things (IoT) will play an essential role in future applications aimed at optimisation of energy consumption. Interoperability of IoT applications can be achieved by usage of data models that explicitly determine the structure of information exchanged between applications. This paper presents a layered approach to modelling semantic information for IoT applications aimed at improving energy efficiency. Physical system is modelled as things that can be observed and actuated. The observations and actuations are context-aware and may be used to control processes in the physical system. The purposive usage of observations and actuations is defined as a service model exposing generic capabilities that can be shared across different applications. The service model is described by RESTful web services for power control. The potential of web services for home appliance energy efficiency is estimated.

Keywords: smart home; power control; ontology; semantic models; RESTful web services; Internet of Things; IoT.

DOI: 10.1504/IJES.2017.086722

International Journal of Embedded Systems, 2017 Vol.9 No.5, pp.401 - 412

Received: 11 Aug 2015
Accepted: 13 Jan 2016
Published online: 24 Sep 2017 *

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