A Framework for Situation Inference based on Belief Function Theory

Ladislav Beranek

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Paper

A Framework for Situation Inference based on Belief Function Theory

Topics: Context Discovery

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 0IC3K, 358-361, 2012 , Barcelona, Spain

Author: Ladislav Beranek

Affiliation: University of South Bohemia, Czech Republic

Keyword(s): Information Extraction, Situation Recognition, Context Discovery, Belief Function Theory.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Context Discovery ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

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.

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Paper citation in several formats:

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 (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 358-361. DOI: 10.5220/0004143703580361

@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 (IC3K 2012) - KDIR},
year={2012},
pages={358-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004143703580361},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - A Framework for Situation Inference based on Belief Function Theory
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Beranek, L.
PY - 2012
SP - 358
EP - 361
DO - 10.5220/0004143703580361
PB - SciTePress