Abstract | ||
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With the increased need of data sharing among multiple organizations, such as government organizations, financial corporations, medical hospitals and academic institutions, it is critical to ensure data integrity so that effective decisions can be made based on these data. In this paper, we first present an architecture for a comprehensive integrity control system based on data validation and metadata management. We then discuss an important issue in the data validation, that is, the evaluation of data provenance and propose a trust model for estimating the trustworthiness of data and data providers. By taking into account confidence about data provenance, we introduce an approach for policy observing query evaluation as a complement to the integrity control system. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-70504-8_26 | BNCOD |
Keywords | Field | DocType |
data integrity,data provider,data provenance,query evaluation,high-assurance integrity techniques,integrity control system,data validation,comprehensive integrity control system,academic institution,effective decision,account confidence | Data warehouse,Data mining,Data validation,System of record,Data quality,Computer science,Data governance,Data sharing,Data integrity,Metadata management,Database | Conference |
Volume | ISSN | Citations |
5071 | 0302-9743 | 7 |
PageRank | References | Authors |
0.70 | 17 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elisa Bertino | 1 | 14025 | 2128.50 |
Chenyun Dai | 2 | 112 | 8.06 |
Hyo-Sang Lim | 3 | 195 | 12.50 |
Dan Lin | 4 | 723 | 38.55 |