Representing and Querying Incomplete Information: a Data Interoperability Perspective

Cristina Sirangelo 1
1 DAHU - Verification in databases
LSV - Laboratoire Spécification et Vérification [Cachan], ENS Cachan - École normale supérieure - Cachan, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8643
Abstract : This habilitation thesis presents some of my most recent work, which has been done in collaboration with several other people. In particular this thesis concentrates on our contributions to the study of incomplete information in the context of data interoperability. In this scenario data is heterogenous and decentralized, needs to be integrated from several sources and exchanged between different applications. Incompleteness, i.e. the presence of “missing” or “unknown” portions of data, is naturally generated in data exchange and integration, due to data heterogeneity. The management of incomplete information poses new challenges in this context.The focus of our study is the development of models of incomplete information suitable to data interoperability tasks, and the study of techniques for efficiently querying several forms of incompleteness.
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HDR
Databases [cs.DB]. Ecole Normale Supérieure de Cachan, 2014
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Dernière modification le : jeudi 11 janvier 2018 - 06:22:14
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Cristina Sirangelo. Representing and Querying Incomplete Information: a Data Interoperability Perspective. Databases [cs.DB]. Ecole Normale Supérieure de Cachan, 2014. 〈tel-01092547〉

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