A quality-aware spatial data warehouse for querying hydroecological data

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
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01223918
Contributor : Florence Le Ber <>
Submitted on : Tuesday, November 10, 2015 - 8:18:00 PM
Last modification on : Thursday, June 6, 2019 - 2:38:28 PM
Long-term archiving on : Friday, April 28, 2017 - 7:40:14 AM

File

final-cogeo.pdf
Files produced by the author(s)

Identifiers

Citation

Soumia Lilia Berrahou, Nathalie Lalande, Eva Serrano, Guilhem Molla, Laure Berti-Équille, et al.. A quality-aware spatial data warehouse for querying hydroecological data. Computers and Geosciences, Elsevier, 2015, 85, pp.126 - 135. ⟨10.1016/j.cageo.2015.09.012⟩. ⟨hal-01223918⟩

Share

Metrics

Record views

692

Files downloads

391