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Harnessing Uncertain Data Structure

Abstract : This thesis addresses some fundamental problems inherent to the need of uncertainty handling in multi-source Web applications with structured information, namely uncertain version control in Web-scale collaborative editing platforms, integration of uncertain Web sources under constraints, and truth finding over structured Web sources. Its major contributions are: uncertainty management in version control of tree-structured data using a probabilistic XML model; initial steps towards a probabilistic XML data integration system for uncertain and dependent Web sources; precision measures for location data and; exploration algorithms for an optimal partitioning of the input attribute set during a truth finding process over conflicting Web sources.
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Contributor : Mouhamadou Lamine Ba <>
Submitted on : Wednesday, April 8, 2015 - 12:54:14 PM
Last modification on : Friday, July 31, 2020 - 10:44:08 AM
Long-term archiving on: : Tuesday, April 18, 2017 - 1:45:33 PM


  • HAL Id : tel-01140315, version 1


Mouhamadou Lamine Ba. Harnessing Uncertain Data Structure. Web. TELECOM ParisTech, 2015. English. ⟨tel-01140315v1⟩



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