Probabilistic XML: A Data Model for the Web

Abstract : Data extracted from the Web often come with uncertainty: they may contain contradictions or result from inherently uncertain processes such as data integration or automatic information extraction. In this habilitation thesis, I present probabilistic XML data models, how they can be used to represent Web data, and the complexity of the different data management operations on these models. I give an exhaustive survey of the state-of-the-art in this field, insisting on my own contributions. I conclude with a summary of my research plans.
Document type :
Habilitation à diriger des recherches
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Contributor : Pierre Senellart <>
Submitted on : Wednesday, November 28, 2012 - 6:46:19 AM
Last modification on : Thursday, February 7, 2019 - 1:33:12 AM
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  • HAL Id : tel-00758055, version 1


Pierre Senellart. Probabilistic XML: A Data Model for the Web. Databases [cs.DB]. Université Pierre et Marie Curie - Paris VI, 2012. ⟨tel-00758055⟩



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