Name
Abstract | ||
|---|---|---|
Addressing data quality issues in information systems remains a challenging task. Many approaches only tackle this issue at the extract, transform and load steps. Here we define a comprehensive method to gain greater insight into data quality characteristics within data warehouse. Our novel architecture was implemented for an hydroecological case study where massive French watercourse sampling data are collected. The method models and makes effective use of spatial, thematic and temporal accuracy, consistency and completeness for multidimensional data in order to offer analysts a \"data quality\" oriented framework. The results obtained in experiments carried out on the Saône River dataset demonstrated the relevance of our approach. HighlightsA datawarehouse with integrated data quality dimensions.An hydroecological case study: massive French watercourse sampling data.Spatial, thematic and temporal accuracy, consistency and completeness.A \"data quality\" oriented framework. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.cageo.2015.09.012 | Computers & Geosciences |
Keywords | Field | DocType |
Information system,Data warehouse modeling and design,Data quality,Hydroecological data | Information system,Data warehouse,Data mining,Architecture,Data quality,Computer science,Spatial data warehouse,Thematic map,Sampling (statistics),Completeness (statistics) | Journal |
Volume | Issue | ISSN |
85 | PA | 0098-3004 |
Citations | PageRank | References |
4 | 0.42 | 14 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Berrahou | 1 | 4 | 0.42 |
| Nathalie Lalande | 2 | 4 | 0.76 |
| E. Serrano | 3 | 4 | 0.42 |
| G. Molla | 4 | 4 | 0.42 |
| Laure Berti-Equille | 5 | 588 | 49.90 |
| Sandro Bimonte | 6 | 236 | 44.43 |
| Sandra Bringay | 7 | 183 | 34.40 |
| Flavie Cernesson | 8 | 19 | 3.68 |
| Corinne Grac | 9 | 20 | 4.37 |
| Dino Ienco | 10 | 295 | 42.01 |
| Florence Le Ber | 11 | 135 | 29.28 |
| Maguelonne Teisseire | 12 | 557 | 129.00 |