Reasoning on Uncertainty in Smart Environments

被引：3

作者：

Machado, Alencar ^{[1
,2
]}

Maran, Vinicius ^{[3
]}

Augustin, Iara ^{[2
]}

Lima, Joao Carlos ^{[2
]}

Wives, Leandro Krug ^{[4
]}

Moreira de Oliveira, Jose Palazzo ^{[4
]}

机构：

[1] Univ Fed Santa Maria, Colegio Politecn, Santa Maria, RS, Brazil

[2] Univ Fed Santa Maria, Programa Posgrad Informat, Santa Maria, RS, Brazil

[3] Univ Fed Santa Maria, Coordenadoria Acad, Santa Maria, RS, Brazil

[4] Univ Fed Rio Grande do Sul, PPGC Inst Informat, Porto Alegre, RS, Brazil

来源：

PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2 (ICEIS) | 2016年

关键词：

Semantic Web; Uncertainty; Smart Environments; Probabilistic Ontologies;

D O I：

10.5220/0005866502400250

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Currently, There Is a Convergence of Systems for Smart Environments and Uncertainty Reasoning. Context Models Are Being Proposed to Support the Detection of Situations in These Environments. 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 Can Deal with Uncertainty. This Framework May Be Used to Detect Unwanted Situations with a Certain Grade of Contextual Uncertainty. the Model Was Evaluated in a Scenario Reasoning over Uncertain Data to Predict Unwanted or Perhaps Dangerous Situations.

引用

页码：240 / 250

页数：11

共 24 条

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