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Authors: Luke Steller 1 ; Shonali Krishnaswamy 1 ; Simon Cuce 1 ; Jan Newmarch 1 and Seng Loke 2

Affiliations: 1 Faculty of Information Technology, Monash University, Australia ; 2 Computer Science & Computer Engineering, La Trobe University, Australia

Keyword(s): Scalable semantic reasoning, context-aware discovery, service-oriented pervasive discovery architecture.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Enterprise Information Systems ; Semantic Web Technologies ; Services Science ; Software Agents and Internet Computing ; Telecommunications ; Wireless and Mobile Computing ; Wireless and Mobile Technologies ; Wireless Information Networks and Systems

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.

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Paper citation in several formats:
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 5: ICEIS; ISBN 978-989-8111-39-5; ISSN 2184-4992, SciTePress, pages 113-118. DOI: 10.5220/0001694401130118

@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 5: ICEIS},
year={2008},
pages={113-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001694401130118},
isbn={978-989-8111-39-5},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - A WEIGHTED APPROACH FOR OPTIMISED REASONING FOR PERVASIVE SERVICE DISCOVERY USING SEMANTICS AND CONTEXT
SN - 978-989-8111-39-5
IS - 2184-4992
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
PB - SciTePress

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