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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
Expressing Your Own Data Requirements
Consuming DQM-Vocabulary Data
Data Quality Knowledge Management
Data Quality Management Vocabulary
Fürber, Christian and Hepp, Martin: Towards a Vocabulary for Data Quality Management in Semantic Web Architectures, Proceedings of the 1st International Workshop on Linked Web Data Management (LWDM2011), Uppsala, Sweden, March 25, 2011.