DQM-Vocabulary Primer

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(Purpose and Usage of the DQM-Vocabulary)
(Purpose and Usage of the DQM-Vocabulary)
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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:
 
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
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* Automated creation of problem reports and data quality scores based on [[data requirements]]
 
* 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

Revision as of 13:40, 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:


Slideshare Presentation on DQM-Voacbulary

Quick Start

Examples

Querying the DQM-Vocabulary

See also

Data Quality Management Vocabulary

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