DBScholar

Back to papers

Automatic Data Fusion with HumMer

Summary: HumMer extends SQL with declarative, ad-hoc fusion of heterogeneous, dirty tables. Given a multi-table query, it automatically performs instance-based schema matching, duplicate detection, and conflict-resolving consolidation into clean entities. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9452
Venue
VLDB
Year
2005
Pagerank
5.093636e-05
Overall Rank
12,744 | 12.57%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{bilke_vldb05,
        title = {{Automatic Data Fusion with HumMer}},
        author = {Bilke, Alexander and Bleiholder, Jens and Böhm, Christoph and Draba, Karsten and Naumann, Felix and Weis, Melanie},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {1251},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,086 FuSem – Exploring Different Semantics of Data Fusion 2007 VLDB 6.9141785e-05
12,619 XClean in Action: A Demonstration of Declarative XML Data Cleaning 2007 CIDR 5.093636e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers