Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
Reconciling while tolerating disagreement in collaborative data sharing
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
FuSem: exploring different semantics of data fusion
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
The ORCHESTRA Collaborative Data Sharing System
ACM SIGMOD Record
A demonstration of SciDB: a science-oriented DBMS
Proceedings of the VLDB Endowment
Believe it or not: adding belief annotations to databases
Proceedings of the VLDB Endowment
Data conflict resolution using trust mappings
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
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A Collaborative Data Sharing System (CDSS) allows groups of scientists to work together and share their data in the presence of disparate database schemas and instances. Each group can extend, curate, and revise its own database instance in a disconnected mode. At some later point, the group may publish the updates it made for the benefit of others and to get updates from other groups (if any). Any conflicting updates are handled by the reconciliation operation which usually rejects such updates temporally and marks them as "deferred". The deferred set is then resolved manually according to pre-defined data reconciliation policies, priorities, etc. for the whole group. In this paper, we present an approach to resolve conflicts in an automatic manner. The focus is to resolve conflicts in the deferred set by collecting feedbacks about the quality of conflicting updates from local users, and then weighing, and aggregating the different feedbacks to assess the most "trusted" update.