DQM-Vocabulary Primer
From SemWebQuality.org
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== Purpose and Usage of the DQM-Vocabulary == | == Purpose and Usage of the DQM-Vocabulary == | ||
| − | The DQM-Vocabulary was created to support data quality management acitivities in [[Wikipedia:Semantic Web|Semantic Web]] architectures. It's major stregth is the ability to represent data requirements, i.e. quality-relevant expectations, so that computers can interpret the requirements and take further actions. Among other things, the DQM-Vocabulary enables the following features: | + | The DQM-Vocabulary was created to support data quality management acitivities in [[Wikipedia:Semantic Web|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 | + | * 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=== | ||
Revision as of 11:57, 9 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
