1. IMPrECISE: Good-is-good-enough Data Integration
- Author
-
Koch, Christoph, König-Ries, B., Markl, V., van Keulen, Maurice, Koch, C., and Databases (Former)
- Subjects
Data Integration ,entity resolution ,METIS-265203 ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,probabilistic databases ,data quality ,IR-65442 ,Uncertainty management ,EWI-15241 - Abstract
The IMPrECISE system is a probabilistic XML database system which supports near-automatic integration of XML documents. What is required of the user is to configure the system with a few simple knowledge rules allowing the system to sufficiently eliminate nonsense possibilities. We demonstrate the integration process under conditions with varying degrees of confusion and different sets of rules. Even when an integrated document still contains much uncertainty, it can be queried effectively. The system produces a sequence of possible result elements ranked by likelihood. User feedback on query results further reduces uncertainty which in a sense continues the semantic integration process incrementally. We demonstrate querying on integrated documents and measure answer quality with adapted precision and recall measures. The user feedback mechanism has not been implemented, hence cannot be demonstrated yet. IMPrECISE has been implemented as an XQuery module for the XML DBMS MonetDB/XQuery. Therefore, the demo also illustrates the power of this XML DBMS and of XQuery as both a query and programming language.
- Published
- 2009