Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download
Contributor : Reza Akbarinia <>
Submitted on : Monday, November 5, 2012 - 4:11:36 PM
Last modification on : Monday, November 30, 2020 - 11:04:12 AM
Long-term archiving on: : Wednesday, February 6, 2013 - 3:56:05 AM


Files produced by the author(s)


  • HAL Id : lirmm-00748621, version 1



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⟩



Record views


Files downloads