[ZPB15] Semantic of Data Dependencies to Improve the Data Quality

Conférence Internationale avec comité de lecture : 5th International Conference on Model and Data Engineering MEDI2015, September 2015, pp.53-61, Rhodes, Greece,

Mots clés: Functional dependencies, Semantic dependencies, Data structure, Data quality, Big data, Data cleaning

Résumé: Data quality in databases is a critical challenge because the cost of anomalies may be very high, especially for large databases. Therefore, the correction of these anomalies represents an issue that has become more and more important both in enterprises and in academia. In this work, we address the problems of intra-column and inter-columns anomalies in big data. We propose a new approach for data cleaning that takes into account the semantic dependencies between the columns of a data source. The novelty of our proposal is the reduction of the size of the search space in the process of functional dependency discovery based on data semantics. In this paper, we present the first steps of our work. They allow recognizing the semantics of data and correct intra-column anomalies.

Equipe: systemes surs


@inproceedings {
title="{Semantic of Data Dependencies to Improve the Data Quality}",
author=" H. ZAIDI and Y. Pollet and F. Boufares and N. Kraiem ",
booktitle="{5th International Conference on Model and Data Engineering MEDI2015}",
edition="ISBN 0302-9743",
address="Rhodes, Greece",