Scientific and Statistical Database Management, International Conference on (2006)
July 3, 2006 to July 5, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2006.20
Hans-J. Lenz , FU Berlin, Germany
Veit Koppen , FU Berlin, Germany
Roland M. Muller , knowledge-commerce.org
It is a matter of fact that the input of numeric data into databases needs careful screening to avoid semantic incoherency with respect to the knowledge at hand. In nearly all real applications such knowledge exists as models, i.e. as balance equations, behavioral equations or simply as definitions. The representation of those objects is possible by validation rules ("edits"), which are roughly speaking specially tailored tests. The methodology is presented, recent work in progress is shown, and a business application is presented.
Hans-J. Lenz, Veit Koppen, Roland M. Muller, "Edits - Data Cleansing at the Data Entry to assert semantic Consistency of metric Data", Scientific and Statistical Database Management, International Conference on, vol. 00, no. , pp. 235-240, 2006, doi:10.1109/SSDBM.2006.20