@inproceedings{a2f88d034958473c809efd7c3aa3938b,
title = "Resolving uncertainty in context integration and abstraction: [Context integration and abstraction]",
abstract = "Pervasive computing is typically highly sensor-driven, but sensors provide only evidence of fact rather than facts themselves. The uncertainty of sensor data will affect each component in a pervasive computing system, which may decrease the quality of its provided services. We provide a general model to represent semantics of uncertainty in different levels (e.g., sensor, lower-level context and higherlevel context). Within our model, fine-grained approaches are applied to evaluate and propagate uncertainties. They will help to resolve the uncertainty in each process of context management so that the effect of uncertainty on system services will be minimised.",
keywords = "Bayes' Theorem, Context abstraction, Context integration, Context-aware computing, Uncertainty",
author = "Juan Ye and Susan McKeever and Lorcan Coyle and Steve Neely and Simon Dobson",
year = "2008",
doi = "10.1145/1387269.1387292",
language = "English",
isbn = "9781605581354",
series = "Proceedings of the 5th International Conference on Pervasive Services, ICPS 2008",
pages = "131--140",
booktitle = "Proceedings of the 5th International Conference on Pervasive Services, ICPS 2008",
note = "5th International Conference on Pervasive Services, ICPS 2008 ; Conference date: 06-07-2008 Through 10-07-2008",
}