A Framework for Situation Inference based on Belief Function Theory

Ladislav Beranek

2012

Abstract

The ability to identify the occurrence of a situation is the main function of context-aware systems. The process of identifying a situation is not easy due to the uncertain nature of the processed information. We use the belief function theory to detect specific situations on the basis of uncertain sensor data. In this paper, we propose a framework for situation awareness based on the belief function theory which is applied to determination of situation occurrence from uncertain sensor data. The framework consists of the situation sensors data processing (filtering, integration) and of situation detection based on alternative frames of discernment generation. The case study demonstrates that the proposed framework is effective and can be used to situation detection.

Paper Citation

in Harvard Style

Beranek L. (2012). A Framework for Situation Inference based on Belief Function Theory . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 358-361. DOI: 10.5220/0004143703580361

in Bibtex Style

@conference{kdir12,
author={Ladislav Beranek},
title={A Framework for Situation Inference based on Belief Function Theory},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={358-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004143703580361},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - A Framework for Situation Inference based on Belief Function Theory
SN - 978-989-8565-29-7
AU - Beranek L.
PY - 2012
SP - 358
EP - 361
DO - 10.5220/0004143703580361