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SUMMARY:Uncertain Schema Matching: the Power of not Knowing
DTSTART:20110615T151500
DTSTAMP:20260507T084440Z
UID:4aab1556f61955a2d604dbd62eafb721cca1b0b45b6d7ae19254ec1d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Avigdor Gal\, Technion - Israel Institute of Technology\
 nSchema matching is the task of providing correspondences between concepts
  describing the meaning of data in various heterogeneous\, distributed dat
 a sources. Schema matching is one of the basic operations required by the 
 process of data and schema integration\, and thus has a great effect on it
 s outcomes\, whether these involve targeted content delivery\, view integr
 ation\, database integration\, query rewriting over heterogeneous sources\
 , duplicate data elimination\, or automatic streamlining of workflow activ
 ities that involve heterogeneous data sources. Although schema matching re
 search has been ongoing for over 25 years\, only recently a realization ha
 s emerged that schema matchers are inherently uncertain. Since 2003\, work
  on the uncertainty in schema matching has picked up\, along with research
  on uncertainty in other areas of data management. This lecture presents t
 he benefits of modelling schema matching as an uncertain process and shows
  a single unified framework for it. We also briefly cover two common metho
 ds that have been proposed to deal with uncertainty in schema matching\, n
 amely ensembles and top-K matchings. The talk is based on a recent manuscr
 ipt\, part of the "Synthesized Lectures on Data Management" by Morgan & Cl
 aypool.  Prof. Gal's homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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