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Capturing the Laws of (Data) Nature

Summary: Treat user-fitted statistical models as first-class DB artifacts to capture domain “laws” and data semantics beyond schemas. Use those models to drive physical storage layout and high-accuracy approximate query answering, demonstrated on an astronomy use case. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
278
Venue
CIDR
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,096 | 17.02%
DOI
-

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{mhleisen_cidr15,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '15},
        title = {{Capturing the Laws of (Data) Nature}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Mhleisen, Hannes and Kersten, Martin and Manegold, Stefan},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
5,820 A Database System with Amnesia 2017 CIDR 6.0761631e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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