DQM-Vocabulary Primer
From SemWebQuality.org
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== Quick Start == | == Quick Start == | ||
| − | + | * [[Create Data Requirements]] | |
| − | + | * [[Generate Problem and Score Annotations]] | |
| − | + | * [[Generate Problem Reports]] | |
| − | + | * [[Generate Data Quality Score Reports]] | |
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== Examples == | == Examples == | ||
Revision as of 18:35, 22 September 2011
Contents |
Purpose and Usage of the DQM-Vocabulary
The DQM-Vocabulary was created to support data quality management acitivities in Semantic Web architectures. It's major stregth is the ability to represent data requirements, i.e. quality-relevant expectations on data, so that computers can interpret the requirements and take further actions. Among other things, the DQM-Vocabulary enables the following core-features:
- Automated creation of problem reports and data quality scores based on data requirements
- Automated consistency checks between data requirements
- Exchange of data quality information and data requirements on web-scale
Quick Start
- Create Data Requirements
- Generate Problem and Score Annotations
- Generate Problem Reports
- Generate Data Quality Score Reports
