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Konferenzbeitrag
AutorenFabian Panse, Maurice van Keulen, Ander de Keijzer, Norbert Ritter
TitelDuplicate Detection in Probabilistic Data
Publiziert inProceedings of the 2nd International Workshop on New Trends in Information Integration at ICDE 2010
VerlagIEEE Los Alamitos
DatumApril 2010
Seiten179-182
Notizat 26th International Conference on Data Engineering, ICDE 2010
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 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.
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