Abstract
One of the most important objectives of data engineering is to deliver high quality data to users. In this paper, we (1) discuss the definition, problems and improvement methods of data quality, and (2) propose a modeling methodology for improving the multimedia data quality. And then, we introduce the method for improving the quality of semantic data using the proposed methodology. In this example, we propose to measure and remove the data ambiguities for improving the data quality.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM International Multimedia Conference and Exhibition |
| Pages | 516-518 |
| Number of pages | 3 |
| Edition | IV |
| Publication status | Published - 2001 Jan 1 |
| Externally published | Yes |
| Event | -ACM Multimedia 2001 Workshops- 2001 Multimedia Conference - Ottawa, Ont., Canada Duration: 2001 Sep 30 → 2001 Oct 5 |
Other
| Other | -ACM Multimedia 2001 Workshops- 2001 Multimedia Conference |
|---|---|
| Country | Canada |
| City | Ottawa, Ont. |
| Period | 01/9/30 → 01/10/5 |
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Keywords
- Conceptual modeling
- Data quality
- Quality metric
- Semantic
- Syntactic quality modeling
ASJC Scopus subject areas
- Computer Science(all)
Cite this
A practical approach for modeling the quality of multimedia data. / Na, K. S.; Baik, Doo Kwon; Kim, P. K.
Proceedings of the ACM International Multimedia Conference and Exhibition. IV. ed. 2001. p. 516-518.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A practical approach for modeling the quality of multimedia data
AU - Na, K. S.
AU - Baik, Doo Kwon
AU - Kim, P. K.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - One of the most important objectives of data engineering is to deliver high quality data to users. In this paper, we (1) discuss the definition, problems and improvement methods of data quality, and (2) propose a modeling methodology for improving the multimedia data quality. And then, we introduce the method for improving the quality of semantic data using the proposed methodology. In this example, we propose to measure and remove the data ambiguities for improving the data quality.
AB - One of the most important objectives of data engineering is to deliver high quality data to users. In this paper, we (1) discuss the definition, problems and improvement methods of data quality, and (2) propose a modeling methodology for improving the multimedia data quality. And then, we introduce the method for improving the quality of semantic data using the proposed methodology. In this example, we propose to measure and remove the data ambiguities for improving the data quality.
KW - Conceptual modeling
KW - Data quality
KW - Quality metric
KW - Semantic
KW - Syntactic quality modeling
UR - http://www.scopus.com/inward/record.url?scp=0034799464&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034799464&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0034799464
SP - 516
EP - 518
BT - Proceedings of the ACM International Multimedia Conference and Exhibition
ER -