Context Fusion through Imprecise Reasoning

Odysseas  Sekkas; Christos B. Anagnostopoulos; Stathes  Hadjiefthymiades

1st International IEEE Conference on Pervasive Services

Research Article

Context Fusion through Imprecise Reasoning

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/PERSER.2007.4283896,
    author={Odysseas  Sekkas and Christos B. Anagnostopoulos and Stathes  Hadjiefthymiades},
    title={Context Fusion through Imprecise Reasoning},
    proceedings={1st International IEEE Conference on Pervasive Services},
    publisher={IEEE},
    proceedings_a={ICPS},
    year={2007},
    month={8},
    keywords={approximate reasoning  context fusion  context modeling  location estimation  probabilistic inference  sensors reliability},
    doi={10.1109/PERSER.2007.4283896}
}

Odysseas Sekkas
Christos B. Anagnostopoulos
Stathes Hadjiefthymiades
Year: 2007
Context Fusion through Imprecise Reasoning
ICPS
IEEE
DOI: 10.1109/PERSER.2007.4283896

Odysseas Sekkas¹^,*, Christos B. Anagnostopoulos¹^,*, Stathes Hadjiefthymiades²^,*

1: Communications Network Laboratory, Pervasive Computing Research Group, University of Athens, Department of Informatics and Telecommunications, Panepistimiopolis, Illissia, 15784, Athens, Greece, Tel: +302107275162
2: Communications Network Laboratory, Pervasive Computing Research Group, University of Athens, Department of Informatics and Telecommunications, Panepistimiopolis, Illissia, 15784, Athens, Greece, Tel: +302107275162,

*Contact email: sekkas@di.uoa.gr, bleu@di.uoa.gr, shadj@di.uoa.gr

Abstract

Pervasive computing is an emerging computing paradigm that provides intelligent context-aware applications. Such applications handle contextual information in order to determine the current user's situation. Contextual information is typically inaccurate (e.g., noise of sensor readings). A novel context fusion engine* that models, determines and reasons about the current user's situation is proposed. This engine, based on dynamic Bayesian networks and fuzzy logic, deals with the reliability of sources and approximate contextual reasoning.

Keywords: approximate reasoning context fusion context modeling location estimation probabilistic inference sensors reliability

Published: 2007-08-08
Publisher: IEEE
Modified: 2011-08-04

: http://dx.doi.org/10.1109/PERSER.2007.4283896