A methodology and architecture embedding quality assessment in
data integration
- Submitting institution
-
Birkbeck College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 175
- Type
- D - Journal article
- DOI
-
10.1145/2567663
- Title of journal
- Journal of Data and Information Quality
- Article number
- 17
- First page
- 17:1
- Volume
- 4
- Issue
- 4
- ISSN
- 1936-1955
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
-
http://eprints.bbk.ac.uk/id/eprint/9253/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
3 - Knowledge Representation and Data Management
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposes a data integration methodology whose key novel feature is that it has embedded within it iterative, and formal, quality assessment and improvement of the integrated resource. Another key novel feature is that Description Logic is used as the formal underpinning for reasoning about the user quality requirements and the extent to which successive iterations of the integrated resource satisfy them. It builds on and extends the literature on heterogeneous data integration, advancing the state of the art in quality-driven data integration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -