Nurul A., Emran (2008) Model-Driven Component Generation for Families of Completeness Measures. In: International Workshop on Quality in Databases and Management of Uncertain Data, In Conjunction with International Conference on Very Large Data Bases (VLDB).
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Abstract
Completeness is a well-understood dimension of data quality. In particular, measures of coverage can be used to assess the completeness of a data source, relative to some universe, for instance a collection of reference databases. We observe that this definition is inherently and implicitly multidimensional: in principle, one can compute measures of coverage that are expressed as a combination of subset of the attributes in the data source schema. This generalization can be useful in several application domains, notably in the life sciences. This leads to the idea of domain-specic families of completeness measures that users can choose from. Furthermore, individuals in the family can be specified as OLAP-type queries on a dimensional schema. In this paper we describe an initial data architecture to support and validate the idea, and show how dimensional completeness measures can be supported in practice by extending the Quality View model [11].
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Z Bibliography. Library Science. Information Resources > ZA Information resources Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
| Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering |
| Depositing User: | Nurul A. Emran |
| Date Deposited: | 29 Nov 2011 01:17 |
| Last Modified: | 21 Nov 2016 08:26 |
| URI: | http://eprints.utem.edu.my/id/eprint/169 |
| Statistic Details: | View Download Statistic |
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