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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
hd0faea5146194b8c
Venue
VLDB
Year
2007
Pagerank
6.7683244e-05
Overall Rank
4,164 | 72.01%
DOI
10.1145/1325851.1326014

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bleiholder_vldb07,
        title = {{FuSem – Exploring Different Semantics of Data Fusion}},
        author = {Bleiholder, Jens and Draba, Karsten and Naumann, Felix},
        journal = {PVLDB},
        series = {{VLDB} '07},
        pages = {1350--1353},
        doi = {10.1145/1325851.1326014},
        url = {https://doi.org/10.1145/1325851.1326014},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,284 Fusing Data with Correlations 2014 SIGMOD 0.00011202115
7,846 SOLOMON: Seeking the Truth Via Copying Detection 2010 VLDB 5.4419613e-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
595 ConQuer: Efficient Management of Inconsistent Databases 2005 SIGMOD 0.00015798582
3,022 XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries 2001 VLDB 7.7417557e-05
13,034 Automatic Data Fusion with HumMer 2005 VLDB 4.9793485e-05
Previous Page 1 / 1 Next

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