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
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 eff
icacy of AcCORD.
(More)