Lorenzo Blanco
Paolo Papotti
ABSTRACT
A relevant number of web sites publish structured data about recognizable concepts (such as stock quotes, movies, restau- rants, etc.). There is a great chance to create applications that rely on a huge amount of data taken from the Web. We present an automatic and domain independent system that performs all the steps required to benefit from these data: it discovers data intensive web sites containing information about an entity of interest, extracts and integrate the published data, and finally performs a probabilistic analysis to characterize the impreciseness of the data and the accuracy of the sources. The results of the processing can be used to populate a probabilistic database.
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Digital Library
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- L. Blanco, V. Crescenzi, P. Merialdo, and P. Papotti. Probabilistic models to reconcile complex data from inaccurate data sources. In CAiSE, pages 83--97, 2010. Google ScholarDigital Library
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- X. Dong, L. Berti-Equille, Y. Hu, and D. Srivastava. Global detection of complex copying relationships between sources. PVLDB, 3(1):1358--1369, 2010. Google ScholarDigital Library
Index Terms
- Automatically building probabilistic databases from the web
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