A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
The 8th OOPSLA workshop on domain-specific modeling
Companion to the 23rd ACM SIGPLAN conference on Object-oriented programming systems languages and applications
Networked Knowledge - Networked Media: Integrating Knowledge Management, New Media Technologies and Semantic Systems
Rule mining for automatic ontology based data cleaning
APWeb'08 Proceedings of the 10th Asia-Pacific web conference on Progress in WWW research and development
Context-aware replacement operations for data cleaning
Proceedings of the 2011 ACM Symposium on Applied Computing
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Severe data quality problems exist in most public health care systems and inconsistent data sets often occur. Consistency constraints can be used to define valid and invalid data. Existing solutions of such constraints like rule systems are often difficult to maintain, not human-readable, and of a bad quality like containing contradictory rules. With In-DaQu we present an approach that allows domain experts to easily create and maintain consistency constraints using an introduced domain-specific language. These constraints are being stored in an ontology, which allows for an automated inconsistency detection in the defined rules themselves. We identified several scenarios in which consistency constraints can be interchanged and exchanged between different participants. The approach has been successfully evaluated in the cancer registry of Lower Saxony.