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DrillBeyond: Enabling Business Analysts to Explore the Web of Open Data

Summary: DrillBeyond extends SQL with seamless, ad hoc federation across local databases and the Web of Open Data. It decomposes queries into known/unknown parts, discovers datasets for missing attributes, and reintegrates results for BI analytics. (summarized by gpt-5.6-luna on Jul 21 2026)

Paper ID
hd55acc1362738969
Venue
VLDB
Year
2012
Pagerank
4.9793485e-05
Overall Rank
12,633 | 15.07%
DOI
10.14778/2367502.2367552

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Authors

BibTeX Citation

@article{eberius_vldb12,
        title = {{DrillBeyond: Enabling Business Analysts to Explore the Web of Open Data}},
        author = {Eberius, Julian and Thiele, Maik and Braunschweig, Katrin and Lehner, Wolfgang},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1978--1979},
        doi = {10.14778/2367502.2367552},
        url = {https://doi.org/10.14778/2367502.2367552},
        year = {2012}
}

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

Rank Cited Paper Year Venue Pagerank
92 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034672523
1,505 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010454635
3,728 Keyword Search over Relational Databases: A Metadata Approach 2011 SIGMOD 7.0696128e-05
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