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Petri net-based context modeling for context-aware systems

Petri net-based context modeling for context-aware systems The context-aware services require to efficiently perceive not only the user requirements but also the context of the environment to provide customized services to the user. To efficiently develop the context-aware applications a systematic methodology correctly specifying the relation among dynamically changing contexts is essential. Here the context model simplifying the manipulation of complex contexts is a key accessor for the specification and analysis of the service. Among various modeling approaches such as timed automata (Tang and You in Intell Automat Soft Comput 16(4):605–619, 2010), workflow (Rosemann et al. in Understanding context-awareness in business process design, 2010), Petri net (PN) (Jørgensen et al. in Innovat Syst Softw Eng 5(1):13–25, 2009), etc. developed for context-aware system, the PN-based approach has been recognized as one of the most effective one. In this paper we identify the issues of how the contexts are modeled and what kinds of the requirements needs to be considered in the context processing. We then discuss various Petri net (PN)-based modeling methodologies concerning the five important features for context processing: relationships and dependencies, time constraint, resource constraint, usability of modeling formalisms, and context identification. The study reveals that the approach effectively allowing both the time and resource constraints in the model while supporting other important properties needs to be developed further for accurately assess the context-aware systems. Also, the expandability and scalability issue need to be investigated. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Petri net-based context modeling for context-aware systems

Han, Seungwok; Youn, Hee
Artificial Intelligence Review , Volume 37 (1) – May 5, 2011
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25 pages

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References (27)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Springer Science+Business Media B.V.
Subject
Computer Science; Computer Science, general; Artificial Intelligence (incl. Robotics)
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1007/s10462-011-9218-x
Publisher site
See Article on Publisher Site

Abstract

The context-aware services require to efficiently perceive not only the user requirements but also the context of the environment to provide customized services to the user. To efficiently develop the context-aware applications a systematic methodology correctly specifying the relation among dynamically changing contexts is essential. Here the context model simplifying the manipulation of complex contexts is a key accessor for the specification and analysis of the service. Among various modeling approaches such as timed automata (Tang and You in Intell Automat Soft Comput 16(4):605–619, 2010), workflow (Rosemann et al. in Understanding context-awareness in business process design, 2010), Petri net (PN) (Jørgensen et al. in Innovat Syst Softw Eng 5(1):13–25, 2009), etc. developed for context-aware system, the PN-based approach has been recognized as one of the most effective one. In this paper we identify the issues of how the contexts are modeled and what kinds of the requirements needs to be considered in the context processing. We then discuss various Petri net (PN)-based modeling methodologies concerning the five important features for context processing: relationships and dependencies, time constraint, resource constraint, usability of modeling formalisms, and context identification. The study reveals that the approach effectively allowing both the time and resource constraints in the model while supporting other important properties needs to be developed further for accurately assess the context-aware systems. Also, the expandability and scalability issue need to be investigated.

Journal

Artificial Intelligence Review – Springer Journals

Published: May 5, 2011

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