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Authors: Dayse Silveira de Almeida 1 ; Carmem Satie Hara 2 and Cristina Dutra de Aguiar Ciferri 1

Affiliations: 1 Universidade de São Paulo, Brazil ; 2 Universidade Federal do Paraná, Brazil

ISBN: 978-989-758-096-3

Keyword(s): Asynchronous Collaboration, Reconciliation, Data Integration, Data Sharing, Multiuser, Data Provenance.

Related Ontology Subjects/Areas/Topics: Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite some efforts reported in the literature for providing data reconciliation solutions with asynchronous collaboration, the challenge of reconciling data when multiple users work asynchronously over local copies of the same imported data has received less attention. In this paper, we propose AcCORD, an asynchronous collaborative data reconciliation model based on data provenance. AcCORD is innovative because it supports applications in which all users are required to agree on the data integration in order to provide a single consistent view to all of them, as well as applications that allow users to disagree on the correct data value, but promote collaboration by sharing updates. We also introduce different policies based on provenance for solving conflicts among multiusers’ updates. An experimental study investigates the main characteristics of the policies, showing the effi cacy of AcCORD. (More)

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Paper citation in several formats:
Silveira de Almeida D., Satie Hara C. and Dutra de Aguiar Ciferri C. (2015). What if Multiusers Wish to Reconcile Their Data?.In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-096-3, pages 184-195. DOI: 10.5220/0005384401840195

@conference{iceis15,
author={Dayse Silveira de Almeida and Carmem Satie Hara and Cristina Dutra de Aguiar Ciferri},
title={What if Multiusers Wish to Reconcile Their Data?},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2015},
pages={184-195},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005384401840195},
isbn={978-989-758-096-3},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - What if Multiusers Wish to Reconcile Their Data?
SN - 978-989-758-096-3
AU - Silveira de Almeida D.
AU - Satie Hara C.
AU - Dutra de Aguiar Ciferri C.
PY - 2015
SP - 184
EP - 195
DO - 10.5220/0005384401840195

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