"A Context Quality Model to Support Transparent Reasoning with Uncertai" by Susan MCKeever, Juan Ye et al.

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Conference papers

Title

A Context Quality Model to Support Transparent Reasoning with Uncertain Context

Authors

Susan MCKeever, Dublin Institute of TechnologyFollow
Juan Ye, University of St. Andrews
Lorcan Coyle, University of Limerick
Simon Dobson, University of St. Andrews

Document Type

Conference Paper

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE

Publication Details

Proceedings of QuaCon 2009, June 2009, Stuttgart, Germany

Abstract

Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identication of quality measures and (2) the use of uncertain reasoning techniques. In this paper, we combine these two strands, exploring the problem of how to identify and propagate quality through the dierent context layers in order to support the context reasoning process. We present a generalised, struc- tured context quality model that supports aggregation of quality from sensor up to situation level. Our model supports reasoning processes that explicitly aggregate context quality, by enabling the identication and quantication of appropriate quality parameters. We demonstrate the ecacy of our model using an experimental sensor data set, gaining a signicant improvement in situation recognition for our voting based reasoning algorithm.

Recommended Citation

McKeever S, Ye, J, Coyle L, Dobson, S (2009) A Context Quality Model to Support Transparent Reasoning with Uncertain Context, Proceedings of QuaCon 2009, June 2009, Stuttgart, Germany

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