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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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Main Author: Nurul A., Emran
Format: Conference or Workshop Item
Language:English
Published: 2008
Subjects:
ZA Information resources
ZA4450 Databases
Online Access:http://eprints.utem.edu.my/id/eprint/169/1/qdbmain.pdf
http://eprints.utem.edu.my/id/eprint/169/
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spelling my.utem.eprints.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).
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic ZA Information resources
ZA4450 Databases
spellingShingle ZA Information resources
ZA4450 Databases
Nurul A., Emran
Model-Driven Component Generation for Families of Completeness Measures
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].
format Conference or Workshop Item
author Nurul A., Emran
author_facet Nurul A., Emran
author_sort Nurul A., Emran
title Model-Driven Component Generation for Families of Completeness Measures
title_short 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_sort model-driven component generation for families of completeness measures
publishDate 2008
url http://eprints.utem.edu.my/id/eprint/169/1/qdbmain.pdf
http://eprints.utem.edu.my/id/eprint/169/
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score 13.211869

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