Abstract
Many applications deal with data that is uncertain. Some examples are applications dealing with sensor information, data integration applications and healthcare applications. Instead of these applications having to deal with the uncertainty, it should be the responsibility of the DBMS to manage all data including uncertain data. Several projects do research on this topic. In this paper, we introduce four measures to be used to assess and compare important characteristics of data and systems.
Original language | Undefined |
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Title of host publication | Proceedings of the First International Conference on Scalable Uncertainty Management (SUM2007) |
Editors | H. Prade, V.S. Subrahmanian |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 104-115 |
Number of pages | 12 |
ISBN (Print) | 978-3-540-75407-7 |
DOIs | |
Publication status | Published - 10 Oct 2007 |
Event | 1st International Conference on Scalable Uncertainty Management 2007 - Washington, United States Duration: 10 Oct 2007 → 12 Oct 2007 Conference number: 1 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Number | LNCS4549 |
Volume | 4772 |
Conference
Conference | 1st International Conference on Scalable Uncertainty Management 2007 |
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Abbreviated title | SUM 2007 |
Country/Territory | United States |
City | Washington |
Period | 10/10/07 → 12/10/07 |
Keywords
- EWI-10727
- IR-64233
- METIS-242190
- DB-SDI: SCHEMA AND DATA INTEGRATION