XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries
Proceedings of the 27th International Conference on Very Large Data Bases
Integrating and Managing Conflicting Data
PSI '02 Revised Papers from the 4th International Andrei Ershov Memorial Conference on Perspectives of System Informatics: Akademgorodok, Novosibirsk, Russia
Conflict Tolerant Queries in AURORA
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
IEEE Computer Graphics and Applications
ConQuer: efficient management of inconsistent databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Automatic data fusion with HumMer
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Declarative data fusion – syntax, semantics, and implementation
ADBIS'05 Proceedings of the 9th East European conference on Advances in Databases and Information Systems
SOLOMON: seeking the truth via copying detection
Proceedings of the VLDB Endowment
Automatic conflict resolution in a CDSS
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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Data fusion is the final step of a typical data integration process, after schematic conflicts have been overcome and after duplicates have been correctly identified. We present the relational data fusion system FuSem, which uses schema mappings and information about duplicates to decide what to fuse, i.e., which tuples to merge into one. The aspect emphasized by the demo is how to fuse the duplicates with FuSem. First, it offers several conflict resolution functions to handle data conflicts among duplicates. Furthermore, different fusion semantics proposed in the literature, such as MatchJoin or ConQuer, can be compared and visually explored. Optimized execution allows interactive access to the data and thus to explore the different data fusion procedures.