A bayesian approach for dealing with uncertain contexts

Tao Gu; Hung Keng Pung; Da Qing Zhang

A bayesian approach for dealing with uncertain contexts

Tao Gu, Hung Keng Pung, Da Qing Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Building of context-aware applications in pervasive computing environments faces the difficult problem of dealing with uncertain context information. In this paper, we propose a probability extension to our ontology-based model for representing uncertain contexts; and use Bayesian networks to reason about uncertainty. In addition, the supports of probabilistic markups and Bayesian networks have been incorporated into our contextaware middleware system to enable the building of context-aware services by using various uncertain contexts. We also present our experiences and discussions.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Pervasive Computing (Pervasive 2004)
Publisher	Austrian Computer Society
Number of pages	7
Publication status	Published - 2004
Externally published	Yes
Event	2nd International Conference on Pervasive Computing, 2004 - Vienna, Austria Duration: 21 Apr 2004 → 23 Apr 2004

Conference

Conference	2nd International Conference on Pervasive Computing, 2004
Country/Territory	Austria
City	Vienna
Period	21/04/04 → 23/04/04

Cite this

@inproceedings{d8d6f89a14234798b90f0cb2e2f85554,

title = "A bayesian approach for dealing with uncertain contexts",

abstract = "Building of context-aware applications in pervasive computing environments faces the difficult problem of dealing with uncertain context information. In this paper, we propose a probability extension to our ontology-based model for representing uncertain contexts; and use Bayesian networks to reason about uncertainty. In addition, the supports of probabilistic markups and Bayesian networks have been incorporated into our contextaware middleware system to enable the building of context-aware services by using various uncertain contexts. We also present our experiences and discussions.",

author = "Tao Gu and Pung, {Hung Keng} and Zhang, {Da Qing}",

year = "2004",

language = "English",

booktitle = "Proceedings of the 2nd International Conference on Pervasive Computing (Pervasive 2004)",

publisher = "Austrian Computer Society",

address = "Austria",

note = "2nd International Conference on Pervasive Computing, 2004 ; Conference date: 21-04-2004 Through 23-04-2004",

}

TY - GEN

T1 - A bayesian approach for dealing with uncertain contexts

AU - Gu, Tao

AU - Pung, Hung Keng

AU - Zhang, Da Qing

PY - 2004

Y1 - 2004

N2 - Building of context-aware applications in pervasive computing environments faces the difficult problem of dealing with uncertain context information. In this paper, we propose a probability extension to our ontology-based model for representing uncertain contexts; and use Bayesian networks to reason about uncertainty. In addition, the supports of probabilistic markups and Bayesian networks have been incorporated into our contextaware middleware system to enable the building of context-aware services by using various uncertain contexts. We also present our experiences and discussions.

AB - Building of context-aware applications in pervasive computing environments faces the difficult problem of dealing with uncertain context information. In this paper, we propose a probability extension to our ontology-based model for representing uncertain contexts; and use Bayesian networks to reason about uncertainty. In addition, the supports of probabilistic markups and Bayesian networks have been incorporated into our contextaware middleware system to enable the building of context-aware services by using various uncertain contexts. We also present our experiences and discussions.

M3 - Conference proceeding contribution

BT - Proceedings of the 2nd International Conference on Pervasive Computing (Pervasive 2004)

PB - Austrian Computer Society

T2 - 2nd International Conference on Pervasive Computing, 2004

Y2 - 21 April 2004 through 23 April 2004

ER -

A bayesian approach for dealing with uncertain contexts

Abstract

Conference

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Cite this