Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0005866502400250 | PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2 (ICEIS) |
Keywords | Field | DocType |
Semantic Web, Uncertainty, Smart Environments, Probabilistic Ontologies | Convergence (routing),Data mining,Smart environment,Computer science,Contextual design,Semantic Web,Knowledge management,Uncertain data | Conference |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alencar Machado | 1 | 19 | 8.40 |
| Vinícius Maran | 2 | 22 | 8.10 |
| Iara Augustin | 3 | 1 | 0.39 |
| João Carlos D. Lima | 4 | 6 | 6.59 |
| Leandro Krug Wives | 5 | 238 | 25.10 |
| José Palazzo Moreira de Oliveira | 6 | 189 | 27.74 |