DQM-Vocabulary Primer

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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:

<a href="http://www.slideshare.net/cfuerber/towards-a-vocabulary-for-data-quality-management-in-semantic-web-architectures" title="Towards a Vocabulary for Data Quality Management in Semantic Web Architectures" target="_blank">Towards a Vocabulary for Data Quality Management in Semantic Web Architectures</a> <iframe src="http://www.slideshare.net/slideshow/embed_code/7389488" width="425" height="355" frameborder="0" marginwidth="0" marginheight="0" scrolling="no"></iframe>
View more <a href="http://www.slideshare.net/" target="_blank">presentations</a> from <a href="http://www.slideshare.net/cfuerber" target="_blank">Christian Fuerber</a>

Quick Start

Create Data Requirements

Generate Problem and Score Annotations

Generate Problem Reports

Generate Data Quality Score Reports

Examples

Querying the DQM-Vocabulary

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