@inproceedings{c48daf8564a4471aaf5d527b73bca66b,
title = "A Context Quality Model to Support Transparent Reasoning with Uncertain Context",
abstract = "Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identification 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 different context; layers in order to support the context reasoning process. We present a generalised, structured 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 identification and quantification of appropriate quality parameters. We demonstrate the efficacy of our model using an experimental sensor data set, gaining a significant improvement in situation recognition for our voting based reasoning algorithm.",
keywords = "Information, pervasive systems, ontologies,, uncertain reasoning, Clarity, Pudecas",
author = "Susan McKeever and Juan Ye and Lorcan Coyle and Simon Dobson",
year = "2009",
doi = "10.1007/978-3-642-04559-2_6",
language = "English",
isbn = "978-3-642-04558-5",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "65--75",
editor = "K. Rothermel and D. Fritsch and W. Blochinger and F. D{\"u}rr",
booktitle = "Quality of Context: First International Workshop, QuaCon 2009, Stuttgart, Germany, June 25-26, 2009. Revised Papers",
address = "Netherlands",
note = "1st International Workshop on Quality of Context (QuaCon 2009) ; Conference date: 25-06-2009 Through 26-06-2009",
}