Symbiotic Ecologies in Next Generation Ambient Intelligent Environments

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Published Mar 1, 2012
https://doi.org/10.47164/ijngc.v3i1.27
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Volume 3, Issue 1, March 2012

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Hani Hagras
The Computational Intelligence Centre, University of Essex, United Kingdom
Christian Wagner
Horizon Digital Economy Research Institute, School of Computer Science, Univ. of Nottingham, UK
Achilles Kameas
The Hellenic Open University, Greece, and DAISY research unit, CTI, Greece
Christos Goumopoulos
The Hellenic Open University, Greece, and DAISY research unit, CTI, Greece
Apostolos Meliones
Dept. of Digital Systems, University of Piraeus, and in Access Networks S.A., Greece
Lambrini Seremeti
The Hellenic Open University, Greece, and DAISY research unit, CTI, Greece
Yacine Bellik
LMSI/CNRS, Paris-South University, France
Gaetan Pruvost
LMSI/CNRS, Paris-South University, France
Tobias Heinroth
University of Ulm, Germany
Wolfgang Minker
University of Ulm, Germany

Abstract

This paper describes a novel approach to realize symbiotic ecologies within Next Generation Ambient Intelligent Environments (NGAIEs). The proposed approach comprises novel ontology and agent technologies allowing for adaptation on a variety of levels. The metaphor of symbiotic ecologies reflects a meaningful integration of relevant entities (i.e., services, devices, agents) and information within NGAIEs to accomplish a specific user's task by relying on the symbiotic relationship of the user and his/her intelligent environment. We adopt a service-oriented architecture, combined with (a) intelligent agents that support task realization and enhanced human-machine interaction and (b) ontologies that provide knowledge representation, management of heterogeneity at user and device level, semantically rich resource discovery and adaptation using ontology alignment mechanisms. In this article, we analyse heterogeneity concerning user behaviour and adaptive user interaction modelling. Furthermore, we focus on heterogeneity regarding the representation of the states of entities and their availability over different networks. The paper will also report on the deployment of a system prototype in a real world AIE which is the intelligent flat (iSpace) at the University of Essex.

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How to Cite
Hani Hagras, Christian Wagner, Achilles Kameas, Christos Goumopoulos, Apostolos Meliones, Lambrini Seremeti, Yacine Bellik, Gaetan Pruvost, Tobias Heinroth, & Wolfgang Minker. (2012). Symbiotic Ecologies in Next Generation Ambient Intelligent Environments. International Journal of Next-Generation Computing, 3(1), 52–86. https://doi.org/10.47164/ijngc.v3i1.27
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