A Query Answering System for Data with Evolution Relationships
Summary: TrenDS leverages evolution relationships among structures by merging related components into virtual structures, enabling query answering. Queries over these databases run without materialization; core challenge is Steiner forests on evolution graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Siarhei Bykau (University of Trento)
- 2. Flavio Rizzolo (Statistics Canada)
- 3. Yannis Velegrakis (University of Trento)
BibTeX Citation
@inproceedings{bykau_sigmod13,
title = {{A Query Answering System for Data with Evolution Relationships}},
author = {Bykau, Siarhei and Rizzolo, Flavio and Velegrakis, Yannis},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463687},
url = {https://dl.acm.org/doi/10.1145/2463676.2463687},
year = {2013}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,637 | The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities | 2013 | VLDB | - |
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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 |
|---|---|---|---|---|
| 5,389 | A First Tutorial on Dataspaces | 2008 | VLDB | 6.2346998e-05 |
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