Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite#R##N##R##N#some efforts reported in the literature for providing data reconciliation solutions with asynchronous#R##N##R##N#collaboration, the challenge of reconciling data when multiple users work asynchronously over local copies#R##N##R##N#of the same imported data has received less attention. In this paper, we propose AcCORD, an asynchronous#R##N##R##N#collaborative data reconciliation model based on data provenance. AcCORD is innovative because it supports#R##N##R##N#applications in which all users are required to agree on the data integration in order to provide a single#R##N##R##N#consistent view to all of them, as well as applications that allow users to disagree on the correct data value,#R##N##R##N#but promote collaboration by sharing updates. We also introduce different policies based on provenance for#R##N##R##N#solving conflicts among multiusersâ updates. An experimental study investigates the main characteristics of#R##N##R##N#the policies, showing the efficacy of AcCORD.
['Dayse Silveira de Almeida', 'Carmem S. Hara', 'Cristina Dutra de Aguiar Ciferri']
What if Multiusers Wish to Reconcile Their Data