Name
Abstract | ||
|---|---|---|
To solve complex user requirements the information systems need to integrate data from several, possibly autonomous data sources. One challenge in such environment is to provide the user with data meeting his requirements in terms of quality. These requirements are difficult to satisfy because of the strong heterogeneity of the sources. In this paper we address the problem of data quality evaluation in data integration systems. We present a framework which is a first attempt to formalize the evaluation of data quality. It is based on a graph model of the data integration system which allows us to define evaluation methods and demonstrate propositions in terms of graph properties. To illustrate our approach, we also present a first experiment with the data freshness quality factor and we show how the framework is used to evaluate this factor according to different scenarios. |
Year | Venue | Keywords |
|---|---|---|
2004 | SBBD | quality factor,satisfiability,data integrity,user requirements,data quality,information system |
Field | DocType | Citations |
Data integration,Information system,Data mining,Data modeling,Data quality,Graph property,Computer science,Data integrity,Data model,User requirements document,Database | Conference | 12 |
PageRank | References | Authors |
0.65 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Verónika Peralta | 1 | 72 | 13.76 |
| Raul Ruggia | 2 | 90 | 12.09 |
| Zoubida Kedad | 3 | 299 | 49.46 |
| Mokrane Bouzeghoub | 4 | 994 | 255.97 |