IMPrECISE: Good-is-good-enough Data Integration


Keulen, Maurice van (2009) IMPrECISE: Good-is-good-enough Data Integration. In: Uncertainty Management in Information Systems : Dagstuhl Seminar, 12 - 17 Oct 2008, Dagstuhl, Germany (pp. pp. 24-25).

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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.
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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