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 dimensional: 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 ilies of completeness measures that users can choose from. 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 measure's can be supported in practice by extending the Quality View model [11].
| Original language | English |
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| Title of host publication | CTIT workshop proceedings series|CTIT workshop proc. Ser. |
| Pages | 123-132 |
| Number of pages | 9 |
| Volume | WP 08 |
| Publication status | Published - 2008 |
| Event | 6th International Workshop on Quality in Databases, QDB 2008 and 3rd Workshop on Management of Uncertain Data, MUD 2008 - Auckland Duration: 1 Jul 2008 → … http://dblp.uni-trier.de/db/conf/iqis/qdbmud2008.html#EmranEM08http://dblp.uni-trier.de/rec/bibtex/conf/iqis/EmranEM08.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/iqis/EmranEM08 |
Conference
| Conference | 6th International Workshop on Quality in Databases, QDB 2008 and 3rd Workshop on Management of Uncertain Data, MUD 2008 |
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| City | Auckland |
| Period | 1/07/08 → … |
| Internet address |