DQM-Vocabulary Primer
From SemWebQuality.org
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== Examples == | == Examples == |
Revision as of 17:17, 10 October 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 Reports
- Generate Data Quality Score Reports
- Generate Problem and Score Annotations