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FuSem – Exploring Different Semantics of Data Fusion

Summary: FuSem is a relational data fusion system that uses schema mappings and duplicates to decide which tuples to fuse. Demonstrates multiple conflict-resolution functions and fusion-semantics exploration (MatchJoin, ConQuer) via an optimized execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9552
Venue
VLDB
Year
2007
Pagerank
8.5371249e-05
Overall Rank
2,563 | 82.19%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
906 Fusing Data with Correlations 2014 SIGMOD 0.00015420344
7,547 SOLOMON: Seeking the Truth Via Copying Detection 2010 VLDB 4.7093124e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
677 ConQuer: Efficient Management of Inconsistent Databases 2005 SIGMOD 0.00018250681
2,218 XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries* 2001 VLDB 9.2658659e-05
12,560 Automatic Data Fusion with HumMer 2005 VLDB 4.1905499e-05
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