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Discovering and Learning Semantic Models of Online Sources for Information Integration
 

Summary: Discovering and Learning Semantic Models of Online Sources
for Information Integration
Jos┤e Luis Ambite1
, Bora Gazen2
, Craig A. Knoblock1
, Kristina Lerman1
, Thomas Russ1
1
University of Southern California 2
Fetch Technologies
4676 Admiralty Way 841 Apollo Street, Suite 400
Marina del Rey, CA 90292 El Segundo, CA 90245
{ambite,knoblock,lerman,tar}@isi.edu gazen@fetch.com
Abstract
Much work in Information Integration and the Se-
mantic Web assumes that rich semantic models of
sources exist. In practice, there is a tremendous
amount of data on the Web, but it is typically hard
to find, has little or no explicit structure, and there
is rarely any semantic description of the data. We

  

Source: Ambite, JosÚ Luis - Information Sciences Institute & Department of Computer Science, University of Southern California
Russ, Thomas A. - Information Sciences Institute, University of Southern California

 

Collections: Computer Technologies and Information Sciences