A WEIGHTED APPROACH FOR OPTIMISED REASONING FOR PERVASIVE SERVICE DISCOVERY USING SEMANTICS AND CONTEXT

Luke Steller, Shonali Krishnaswamy, Simon Cuce, Jan Newmarch, Seng Loke

2008

Abstract

There is an increased imperative for pervasive service discovery architectures, to aid mobile users for time critical tasks in service rich ad-hoc environments. As such, there is a need for an innovative technology for semantically-driven pervasive service discovery by enabling semantic reasoning engines to function in an effective and efficient manner on resource-constrained mobile devices and by incorporating context-awareness to provide relevant services to the user. We outline several optimisation and branch ranking strategies for pervasive reasoning to meet this goal and provide a performance evaluation of our approach.

Paper Citation

in Harvard Style

Steller L., Krishnaswamy S., Cuce S., Newmarch J. and Loke S. (2008). A WEIGHTED APPROACH FOR OPTIMISED REASONING FOR PERVASIVE SERVICE DISCOVERY USING SEMANTICS AND CONTEXT . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-39-5, pages 113-118. DOI: 10.5220/0001694401130118

in Bibtex Style

@conference{iceis08,
author={Luke Steller and Shonali Krishnaswamy and Simon Cuce and Jan Newmarch and Seng Loke},
title={A WEIGHTED APPROACH FOR OPTIMISED REASONING FOR PERVASIVE SERVICE DISCOVERY USING SEMANTICS AND CONTEXT},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2008},
pages={113-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001694401130118},
isbn={978-989-8111-39-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - A WEIGHTED APPROACH FOR OPTIMISED REASONING FOR PERVASIVE SERVICE DISCOVERY USING SEMANTICS AND CONTEXT
SN - 978-989-8111-39-5
AU - Steller L.
AU - Krishnaswamy S.
AU - Cuce S.
AU - Newmarch J.
AU - Loke S.
PY - 2008
SP - 113
EP - 118
DO - 10.5220/0001694401130118