Model-Driven Component Generation for Families of Completeness Measures
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 multidim...
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Online Access: | http://eprints.utem.edu.my/id/eprint/169/ http://eprints.utem.edu.my/id/eprint/169/1/qdbmain.pdf |
| _version_ | 1848886896143368192 |
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| author | Nurul A., Emran |
| author_facet | Nurul A., Emran |
| author_sort | Nurul A., Emran |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | 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]. |
| first_indexed | 2025-11-15T19:45:46Z |
| format | Conference or Workshop Item |
| id | utem-169 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:45:46Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-1692016-11-21T08:26:02Z http://eprints.utem.edu.my/id/eprint/169/ Model-Driven Component Generation for Families of Completeness Measures Nurul A., Emran ZA Information resources ZA4450 Databases 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]. 2008-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/169/1/qdbmain.pdf 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). |
| spellingShingle | ZA Information resources ZA4450 Databases Nurul A., Emran Model-Driven Component Generation for Families of Completeness Measures |
| title | Model-Driven Component Generation for Families of Completeness Measures |
| title_full | Model-Driven Component Generation for Families of Completeness Measures |
| title_fullStr | Model-Driven Component Generation for Families of Completeness Measures |
| title_full_unstemmed | Model-Driven Component Generation for Families of Completeness Measures |
| title_short | Model-Driven Component Generation for Families of Completeness Measures |
| title_sort | model-driven component generation for families of completeness measures |
| topic | ZA Information resources ZA4450 Databases |
| url | http://eprints.utem.edu.my/id/eprint/169/ http://eprints.utem.edu.my/id/eprint/169/1/qdbmain.pdf |