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An Uncertain Data Integration System

Naser Ayat 1 Hamideh Afsarmanesh 1 Reza Akbarinia 2 Patrick Valduriez 2
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Data integration systems off er uniform access to a set of autonomous and heterogeneous data sources. An important task in setting up a data integration system is to match the attributes of the source schemas. In this paper, we propose a data integration system which uses the knowledge implied within functional dependencies for matching the source schemas. We build our system on a probabilistic data model to capture the uncertainty arising during the matching process. Our performance validation con rms the importance of functional dependencies and also using a probabilistic data model in improving the quality of schema matching. Our experimental results show significant performance gain compared to the baseline approaches. They also show that our system scales well.
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Submitted on : Monday, November 5, 2012 - 4:11:36 PM
Last modification on : Tuesday, April 16, 2019 - 6:26:02 PM
Long-term archiving on: : Wednesday, February 6, 2013 - 3:56:05 AM

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Naser Ayat, Hamideh Afsarmanesh, Reza Akbarinia, Patrick Valduriez. An Uncertain Data Integration System. ODBASE'2012: 11th International Conference on Ontologies, DataBases, and Applications of Semantics, Sep 2012, Roma, Italy. pp.18. ⟨lirmm-00748621⟩

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