DQM-Vocabulary Primer
From SemWebQuality.org
(Difference between revisions)
Line 32: | Line 32: | ||
* [http://purl.org/dqm-vocabulary/v1/dqm Latest Technical Specification of DQM-Vocabulary] | * [http://purl.org/dqm-vocabulary/v1/dqm Latest Technical Specification of DQM-Vocabulary] | ||
* [http://semwebquality.org/dqm-vocabulary/v1/dqm.owl Latest DQM-Vocabulary in OWL] | * [http://semwebquality.org/dqm-vocabulary/v1/dqm.owl Latest DQM-Vocabulary in OWL] | ||
+ | |||
+ | == References == |
Revision as of 17:59, 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