Knowledge Translation
Summary: Kensho produces SPARQL-based mapping rules between knowledge bases by enriching seed correspondences with semantic structure and constraints. A two-phase process—extract intra-KB semantics, then derive mappings that respect these associations—plus heuristic ranking; evaluated on 50+ synthetic and real-world benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bahar Ghadiri Bashardoost (University of Toronto)
- 2. Renée J. Miller (Northeastern University)
- 3. Kelly Lyons (University of Toronto)
- 4. Fatemeh Nargesian (University of Rochester)
BibTeX Citation
@article{bashardoost_vldb20,
title = {{Knowledge Translation}},
author = {Bashardoost, Bahar Ghadiri and Miller, Renée J. and Lyons, Kelly and Nargesian, Fatemeh},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {11},
pages = {2018--2032},
doi = {10.14778/3407790.3407806},
url = {https://doi.org/10.14778/3407790.3407806},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,441 | A Critical Re-evaluation of Neural Methods for Entity Alignment | 2022 | VLDB | 5.4247564e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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