Title :
IMPrECISE: Good-is-good-enough data integration
Author :
De Keijzer, Ander ; Van Keulen, Maurice
Author_Institution :
Univ. of Twente, Enschede
Abstract :
IMPrECISE is an XQuery module that adds probabilistic XML functionality to an existing XML DBMS, in our case MonetDB/XQuery. We demonstrate probabilistic XML and data integration functionality of IMPrECISE. The prototype is configurable with domain knowledge such that the amount of uncertainty arising during data integration is reduced to an acceptable level, thus obtaining a "good is good enough" data integration with minimal human effort.
Keywords :
XML; database management systems; query processing; MonetDB/XQuery; XML DBMS; data integration; probabilistic XML functionality; Data models; Databases; Decision support systems; Decision trees; Feedback; Humans; Prototypes; Tree data structures; Uncertainty; XML;
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
DOI :
10.1109/ICDE.2008.4497618