Matching Roles from Temporal Data
Summary: Proposes role matching, a fine-grained temporal integrity constraint on <subject, predicate, object, timestamp> quads, where a role (subject+predicate) should retain the same object over time. To scale, it introduces blocking for dirty inputs and adapts Ditto for role matching; evaluated on Wikipedia infoboxes with ~95% recall, >99.99% reduction, and macro F1 of 89%. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Leon Bornemann (Hasso Plattner Institute; University of Potsdam)
- 2. Tobias Bleifu df (Hasso Plattner Institute; University of Potsdam)
- 3. Dmitri V. Kalashnikov (Independent)
- 4. Fatemeh Nargesian (University of Rochester)
- 5. Felix Naumann (Hasso Plattner Institute; University of Potsdam)
- 6. Divesh Srivastava (AT&T)
BibTeX Citation
@inproceedings{bornemann_sigmod23,
title = {{Matching Roles from Temporal Data}},
author = {Bornemann, Leon and Bleifu df, Tobias and Kalashnikov, Dmitri V. and Nargesian, Fatemeh and Naumann, Felix and Srivastava, Divesh},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588919},
url = {https://dl.acm.org/doi/10.1145/3588919},
year = {2023}
}
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