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» Probabilistic Declarative Information Extraction
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CIKM
2009
Springer
14 years 7 days ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
PVLDB
2010
158views more  PVLDB 2010»
13 years 6 months ago
Building Ranked Mashups of Unstructured Sources with Uncertain Information
Mashups are situational applications that join multiple sources to better meet the information needs of Web users. Web sources can be huge databases behind query interfaces, which...
Mohamed A. Soliman, Ihab F. Ilyas, Mina Saleeb
CAISE
2010
Springer
13 years 8 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
ENTCS
2008
116views more  ENTCS 2008»
13 years 7 months ago
Phil: A Lazy Implementation of a Language for Approximate Filtering of XML Documents
In this paper, we introduce a system, written in Haskell, for filtering information from XML data. Essentially, the system implements a simple declarative language which allows on...
Michele Baggi, Demis Ballis
SIGMOD
2011
ACM
204views Database» more  SIGMOD 2011»
12 years 10 months ago
Datalog and emerging applications: an interactive tutorial
We are witnessing an exciting revival of interest in recursive Datalog queries in a variety of emerging application domains such as data integration, information extraction, netwo...
Shan Shan Huang, Todd Jeffrey Green, Boon Thau Loo