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Goal Processing and Semantic Matchmaking in Opportunistic Activity and Context Recognition Systems

Authors:
Gerold Hoelzl
Marc Kurz
Alois Ferscha

Keywords: Goal Processing; Sensor Networks; Activity and Context Recognition; Opportunistic Sensing

Abstract:
The Opportunistic Sensing Paradigm shifts away the configuration of activity- and context recognition systems from design time of the system to a dynamic runtime configuration. Systems following this new paradigm have to autonomously configure themselves during runtime according to a stated recognition goal and the available sensing infrastructure. A crucial point therefore is to find a methodology to express the recognition goal itself and to map the requirements specified by the stated recognition goal to the capabilities of the available sensors in the ecosystem of the users. This paper presents an approach for a semantic engine capable of processing and matching a given recognition goal to the semantically described sensing infrastructure. This matching allows to autonomously spot and quantify the best set of sensors available at any point in time that can contribute to the stated recognition goal and therefore being configured to a sensing ensemble.

Pages: 33 to 39

Copyright: Copyright (c) IARIA, 2013

Publication date: March 24, 2013

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-257-8

Location: Lisbon, Portugal

Dates: from March 24, 2013 to March 29, 2013