Title: Intelligent context retrieval and management for services in the Internet of Things

Authors: Alejandro Cadenas; Carlos Baladron; Javier M. Aguiar; Belén Carro; Antonio Sánchez-Esguevillas

Addresses: Telefónica Research and Development, C/Ronda de la Comunicación, s/n 28050 Madrid, Spain ' E.T.S.I. Telecomunicación, Universidad de Valladolid, Campus Miguel Delibes, Paseo de Belén 15, 47011 Valladolid, Spain ' E.T.S.I. Telecomunicación, Universidad de Valladolid, Campus Miguel Delibes, Paseo de Belén 15, 47011 Valladolid, Spain ' E.T.S.I. Telecomunicación, Universidad de Valladolid, Campus Miguel Delibes, Paseo de Belén 15, 47011 Valladolid, Spain ' Telefónica Research and Development, C/Ronda de la Comunicación, s/n 28050 Madrid, Spain

Abstract: Information processing about a user's situation (or user's context) is one of the most significant paradigms in nowadays end user services development, supporting ambient intelligence, or applications that are able to react smartly to the condition of users and their surroundings. In the Internet of Things, where a plethora of connected devices produces and consumes information, there are many actors who will play the roles of context providers and context consumers. However, in a global environment, acquisition, processing and consumption of user's context information would be much easier if performed in a controlled and ordered fashion within an information exchange framework. In this paper, a proposal for a Convergent Context Enabler (CCE) is described and specific details are provided about the user's context processing and the interfaces designed to support the architecture. Finally, a use case of context-aware services in the Internet of Things is presented and analysed in detail.

Keywords: intelligent retrieval; context retrieval; context management; web services; Internet of Things; IoT; context-aware services; social networks; information processing; information exchange.

DOI: 10.1504/IJAHUC.2013.055467

International Journal of Ad Hoc and Ubiquitous Computing, 2013 Vol.13 No.3/4, pp.218 - 227

Received: 09 May 2012
Accepted: 23 Dec 2012

Published online: 28 Jul 2013 *

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