Paper Info
Title
Ambient Assisted Living Systems: A Model for Reasoning Under Uncertainty.
Abstract
Ambient Assisted Living are equipped with ubiquitous technologies, and use sensors as their main element for environmental data collection, providing systems with updated information. Currently, there is a convergence combining systems for smart environments and uncertainty reasoning. Considering that the world population is aging, health-support issues are in evidence, and many dangerous situations concerning users in their living environment may arise. However, reasoning to detect situations taking into account uncertainty presents a great challenge. This paper describes a contextual model based on semantic web technologies that deals with uncertainty. This model may be used to detect unwanted situations with a certain grade of contextual uncertainty. The model was evaluated in scenario exhibiting the reasoning over uncertain data to predict unwanted or perhaps dangerous situations.
Year
DOI
Venue
2016
10.1007/978-3-319-62386-3_16
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Semantic web,Uncertainty,Smart environments,Probabilistic ontologies
Data science,Smart environment,Living systems,Computer science,Contextual design,Semantic Web,Knowledge management,Uncertain data,Artificial intelligence,Environmental data,World population
Conference
Volume
ISSN
Citations 
291
1865-1348
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Alencar Machado1198.40
Vinícius Maran2228.10
Iara Augustin310015.39
João Carlos D. Lima466.59
Leandro Krug Wives523825.10
José Palazzo Moreira de Oliveira618927.74