DQM-Vocabulary Primer
From SemWebQuality.org
(Difference between revisions)
(→Purpose and Usage of the DQM-Vocabulary) |
(→Purpose and Usage of the DQM-Vocabulary) |
||
Line 5: | Line 5: | ||
* Automated consistency checks between data requirements | * Automated consistency checks between data requirements | ||
* Exchange of data quality information and data requirements on web-scale | * Exchange of data quality information and data requirements on web-scale | ||
+ | <br /> | ||
:::'''''[http://www.slideshare.net/cfuerber/towards-a-vocabulary-for-data-quality-management-in-semantic-web-architectures Slideshare Presentation on DQM-Voacbulary]'''''<br /> | :::'''''[http://www.slideshare.net/cfuerber/towards-a-vocabulary-for-data-quality-management-in-semantic-web-architectures Slideshare Presentation on DQM-Voacbulary]'''''<br /> |
Revision as of 13:39, 9 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 and Score Annotations
- Generate Problem Reports
- Generate Data Quality Score Reports