DQM-Vocabulary Primer

Revision as of 14:30, 9 October 2011

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

Slideshare Presentation on DQM-Vocabulary

Quick Start

• Create Data Requirements
• Generate Problem and Score Annotations
• Generate Problem Reports
• Generate Data Quality Score Reports

Examples

• Creating Data Requirements
• Usage of DQM-Vocab as OWL DL or OWL Full

Querying the DQM-Vocabulary

• Data Quality Monitoring Reports
• Data Quality Assessment Reports

See also

Data Quality Management Vocabulary

• Latest Technical Specification of DQM-Vocabulary
• Latest DQM-Vocabulary in OWL