Artificial Intelligence
Understanding and Using Context
Personal and Ubiquitous Computing
The design and applications of a context service
ACM SIGMOBILE Mobile Computing and Communications Review
Modelling and Using Sensed Context Information in the Design of Interactive Applications
EHCI '01 Proceedings of the 8th IFIP International Conference on Engineering for Human-Computer Interaction
Composing Pervasive Data Using iQL
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
A Probabilistic Extension to Ontology Language OWL
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Modelling and Using Imperfect Context Information
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Reasoning about Uncertain Contexts in Pervasive Computing Environments
IEEE Pervasive Computing
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
MiddleWhere: a middleware for location awareness in ubiquitous computing applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Modeling Uncertainty in Context-Aware Computing
Proceedings of the Fourth Annual ACIS International Conference on Computer and Information Science
The Role of Probabilistic Schemes in Multisensor Context-Awareness
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Journal of Systems and Software
Situational computing: An innovative architecture with imprecise reasoning
Journal of Systems and Software
Ontology-based models in pervasive computing systems
The Knowledge Engineering Review
A unified semantics space model
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
An approach to data fusion for context awareness
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Human-behaviour study with situation lattices
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Using Dempster-Shafer theory of evidence for situation inference
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
A context quality model to support transparent reasoning with uncertain context
QuaCon'09 Proceedings of the 1st international conference on Quality of context
A framework for quality of context management
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Enrichment of raw sensor data to enable high-level queries
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
A middleware for implicit interaction
Computing with instinct
A top-level ontology for smart environments
Pervasive and Mobile Computing
Exploring semantics in activity recognition using context lattices
Journal of Ambient Intelligence and Smart Environments
Expanding sensor networks to automate knowledge acquisition
BNCOD'11 Proceedings of the 28th British national conference on Advances in databases
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
Description and composition of bio-inspired design patterns: a complete overview
Natural Computing: an international journal
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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 higher-level 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.