A Framework for Imprecise Context Reasoning

Christos  B. Anagnostopoulos; Panagiotis  Pasias; Stathes  Hadjiefthymiades

1st International IEEE Conference on Pervasive Services

Research Article

A Framework for Imprecise Context Reasoning

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/PERSER.2007.4283913,
    author={Christos  B. Anagnostopoulos and Panagiotis  Pasias and Stathes  Hadjiefthymiades},
    title={A Framework for Imprecise Context Reasoning},
    proceedings={1st International IEEE Conference on Pervasive Services},
    publisher={IEEE},
    proceedings_a={ICPS},
    year={2007},
    month={8},
    keywords={approximate reasoning  context clustering  fuzzy sets-based context representation and inference},
    doi={10.1109/PERSER.2007.4283913}
}

Christos B. Anagnostopoulos
Panagiotis Pasias
Stathes Hadjiefthymiades
Year: 2007
A Framework for Imprecise Context Reasoning
ICPS
IEEE
DOI: 10.1109/PERSER.2007.4283913

Christos B. Anagnostopoulos¹^,*, Panagiotis Pasias¹, Stathes Hadjiefthymiades¹^,*

1: Pervasive Computing Research Group, Communication Networks Laboratory, Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, 15784, Greece, tel.: +302107275148

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

Abstract

The knowledge about the user context refers to a sequence of activities performed in a pervasive computing environment. Such sequence and the corresponding context transitions typically constitute the up-to-now user situation, thus, clusters of similar situations can be formed. A framework that represents and infers the current user context and reasons about user situations through approximate reasoning and clustering techniques is proposed

Keywords: approximate reasoning context clustering fuzzy sets-based context representation and inference

Published: 2007-08-08
Publisher: IEEE
Modified: 2011-08-07

: http://dx.doi.org/10.1109/PERSER.2007.4283913