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10

GI
2007
Springer

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113views Theoretical Computer Science» more GI 2007»

Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance

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Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance

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: Data validation and cleaning are integral processes of the data quality management cycle. Domain speciﬁc knowledge is needed to detect and correct semantic errors. Ontologies can be used to represent valid and invalid attribute value combinations to detect and correct invalid data. We introduce reorganization operations for maintaining such an ontology in the data quality management cycle.

Stefan Brüggemann, Thomas Aden

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Data Quality Management | GI 2007 | Invalid Attribute Value | Quality Management Cycle | Theoretical Computer Science |

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Added	07 Jun 2010
Updated	07 Jun 2010
Type	Conference
Year	2007
Where	GI
Authors	Stefan Brüggemann, Thomas Aden

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