Article

Définition et représentation du contexte pour des agents sensibles au contexte

Authors:

Philippe Beaune,

Olivier BoissierAuthors Info & Claims

UbiMob '05: Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing

Pages 13 - 16

https://doi.org/10.1145/1102613.1102617

Published: 31 May 2005 Publication History

Abstract

Developing context-aware applications needs facilities for recognizing and representing context, reasoning on it and adapting to it accordingly. In what concerns context representation, the newest and most challenging representation is the ontological one. The problem is that current ontologies for context are quite simplistic and do not provide a standard for representing complex context attributes. In this paper, we propose a context definition and representation used to construct a context-based agent architecture. The representation we propose combines the generality provided by ontologies with the complexity inspired by the object oriented models. The goal of the proposed representation is to support the deployment of context-aware agents able to learn how to recognize and adapt to the context of their decisions.

References

[1]

Brezillon, P. - "Context Dynamic and Explanation in Contextual Graphs", CONTEXT-03, p. 94--106, 2003.

Digital Library

[2]

Bucur O, Boissier O, Beaune P - "A Context-Based Agent Architecture for Learning How to Make Contextualized Decisions" (to appear in Proc. of International Workshop MCMP 05), may 2005.

[3]

Chen, H. et al. - "An Ontology for Context-Aware Pervasive Computing Environments", The Knowledge Engineering Review Vol. 18, p.197 -- 207, 2003.

Digital Library

[4]

Coutaz J., Ray G. -"Foundations for a theory of contextors", In Proc. CADUI02, ACM Publication, pp. 283--302, 2002.

[5]

Coutaz J. et al - "Context is key", Volume 48, Issue 3 (March 2005) The disappearing computer, SPECIAL ISSUE: The disappearing computer, Pp: 49 -- 53, 2005.

Digital Library

[6]

Dey, A., Abowd, G.- "Towards a better understanding of Context and Context-Awareness", GVU Technical Report GIT-GVU-00-18, 1999.

[7]

Gonzalez A., Ahlers R.-"Context based representation of intelligent behavior in training simulations", Transactions of the Society for Computer Simulation International, Vol. 15, p. 153--166, 1999

Digital Library

[8]

Henricksen K. et al - "Modeling Context Information in Pervasive Computing Systems", Proc. First International Conference on Pervasive Computing 2002, p. 167--180.

Digital Library

[9]

Lashkari Y. et al - "Collaborative Interface Agents", Proc. of the Third International Conference on Information and Knowledge Management CIKM'94, ACM Press, 1994

[10]

Lin S., J. Y. Hsu - "Learning User's Scheduling Criteria in a Personal Calendar Agent", Proc. of TAAI2000, Taipei.

[11]

Mitchell T. et al - "Experience with a learning personal assistant", Comm. of the ACM, 1994.

Digital Library

[12]

OWL - http://www.w3.org/2004/OWL/

[13]

Pascoe J. - "Adding Generic Contextual Capabilities to Werable Computers". 2nd International Symposium on Wearable Computers (1998) 92--99.

Digital Library

[14]

Ryan N.- "ConteXtML: Exchanging contextual information between a Mobile Client and the FieldNote Server", http://www.cs.kent.ac.uk/projects/mobicomp/fnc/ConteXtML.html.

[15]

Scerri, P., Pynadath D., Tambe M.- "Why the elf acted autonomously: Towards a theory of adjustable autonomy", AAMAS 02, p. 857--964, 2002

Digital Library

[16]

Tao Gu et al - "An Ontology-based Context Model in Intelligent Environments", Proc. of Communication Networks and Distributed Systems Modeling and Simulation Conference, 2004.

Cited By

Lebrun YAdam EMandiau RKolski C(2019)A model for managing interactions between tangible and virtual agents on an RFID interactive tabletopJournal of Computer and System Sciences10.1016/j.jcss.2014.11.01181:3(585-598)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.jcss.2014.11.011
Khallouki HAddakiri KBahaj M(2019)Context-Awareness-Based Adaptive Modal for Multimedia DocumentsSmart Data and Computational Intelligence10.1007/978-3-030-11914-0_14(130-134)Online publication date: 1-Mar-2019
https://doi.org/10.1007/978-3-030-11914-0_14

Index Terms

Définition et représentation du contexte pour des agents sensibles au contexte
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

Recommendations

Définition du contexte: fonctions de coût et méthodes de sélection
UbiMob '05: Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing

This paper targets with applications running on mobile devices. We aim at developing a formalism and a framework to simplify the development of applications taking into account the context in which they are running.Following previous studies from other ...
Définition et validité de critères de « partageabilité » : premiers résultats
ErgoIA '21: Proceedings of the 17th “Ergonomie et Informatique Avancée” Conference

Depuis une dizaine d'années, l’économie dite « du partage » (‘sharing economy’) se développe. Les entreprises offrant des services d'autopartage, de covoiturage ou de location d'appartements pour une courte durée sont les fers de lance de ce mouvement. ...
iConAwa - An intelligent context-aware system

Highlights iConAwa is a context-aware and multiagent system. Context-aware systems are suitable for agent-based development. Context and points of interest are modelled in an extensible way by the developed ontology models. Context reasoning provides ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

UbiMob '05: Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing

May 2005

214 pages

ISBN:1595931724

DOI:10.1145/1102613

Conference Chairs:
Wendy Mackay
INRIA Futurs, Orsay
,
Michel Riveill
I3S, Sophia-Antipolis

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2005

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
305
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 30 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

Lebrun YAdam EMandiau RKolski C(2019)A model for managing interactions between tangible and virtual agents on an RFID interactive tabletopJournal of Computer and System Sciences10.1016/j.jcss.2014.11.01181:3(585-598)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.jcss.2014.11.011
Khallouki HAddakiri KBahaj M(2019)Context-Awareness-Based Adaptive Modal for Multimedia DocumentsSmart Data and Computational Intelligence10.1007/978-3-030-11914-0_14(130-134)Online publication date: 1-Mar-2019
https://doi.org/10.1007/978-3-030-11914-0_14

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents