Ontology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance
نویسندگان
چکیده
Data validation and cleaning are integral processes of the data qualitymanagement 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 formaintaining such an ontology in the data quality management cycle.
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