From Data Fusion to Knowledge Fusion
Summary: Extends data fusion to knowledge fusion: reconciling subject–predicate–object triples amid extractor-induced entity-linkage and schema-alignment noise. Evaluates adapted methods on 1.6B triples from 12 extractors, exposing promise and new research challenges. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Luna Dong (Google)
- 2. Evgeniy Gabrilovich (Google)
- 3. Geremy Heitz (Google)
- 4. Wilko Horn (Google)
- 5. Kevin Murphy (Google)
- 6. Shaohua Sun (Google)
- 7. Wei Zhang (Google)
BibTeX Citation
@article{dong_vldb14,
title = {{From Data Fusion to Knowledge Fusion}},
author = {Dong, Xin Luna and Gabrilovich, Evgeniy and Heitz, Geremy and Horn, Wilko and Murphy, Kevin and Sun, Shaohua and Zhang, Wei},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {10},
pages = {881--892},
doi = {10.14778/2732951.2732953},
url = {https://doi.org/10.14778/2732951.2732953},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
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