OpenForge: Probabilistic Metadata Integration
Summary: OpenForge integrates heterogeneous metadata concepts via a two-stage prior–posterior framework: LLM-based candidate beliefs refined by MRF inference encoding constraints such as transitivity. Outperforms GPT-4 by 25 F1 points on vocabulary matching. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Tianji Cong (University of Michigan)
- 2. Fatemeh Nargesian (University of Rochester)
- 3. Junjie Xing (University of Michigan)
- 4. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{cong_vldb25,
title = {{OpenForge: Probabilistic Metadata Integration}},
author = {Cong, Tianji and Nargesian, Fatemeh and Xing, Junjie and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {2914--2927},
doi = {10.14778/3746405.3746417},
url = {https://doi.org/10.14778/3746405.3746417},
year = {2025}
}
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