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AutorenFabian Panse, Maurice van Keulen, Ander de Keijzer, Norbert Ritter
TitelDuplicate Detection in Probabilistic Data - Extended Version
VerlagCentre for Telematics and Information Technology, University of Twente
MediumCTIT technical report series Nummer TR-CTIT-09-44
InstitutionCentre for Telematics and Information Technology (CTIT), University of Twente, Technical Report Series
NotizExtended version of NTII2010 workshop paper
ZusammenfassungCollected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic databases, an integration of probabilistic data has to be performed. Until now, however, data integration approaches have focused on the integration of certain source data (relational or XML). There is no work on the integration of uncertain (esp. probabilistic) source data so far. In this paper, we present a first step towards a concise consolidation of probabilistic data. We focus on duplicate detection as a representative and essential step in an integration process. We present techniques for identifying multiple probabilistic representations of the same real-world entities. Furthermore, for increasing the efficiency of the duplicate detection process we introduce search space reduction methods adapted to probabilistic data.
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