The data warehouse challenge: taming data chaos
The data warehouse challenge: taming data chaos
Semantic integration of conceptual schemas
Data & Knowledge Engineering - Special issue natural language for data bases
Communications of the ACM
Data quality and systems theory
Communications of the ACM
Data Quality for the Information Age
Data Quality for the Information Age
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One of the most important objectives of data engineering is to deliver high quality data to users. In this paper, we (1) discuss the definition, problems and improvements methods of data qwuality, and (2) propose a modeling methodology for improving the multimedia data quality. And then, we introduce the method for improving the quality of semantic data using the proposed methodology. In this example, we propose to measure and remove the data ambiguities for improving the data quality.