PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration
Summary: PivotE enables entity-oriented exploratory search over schema-less, Web-scale KGs by dynamically discovering local structures and ranking path-based related entities. Its visualization explains semantic correlations while click-driven query formulation guides cross-domain investigation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Xueran Han (Renmin University of China)
- 2. Jun Chen (Renmin University of China)
- 3. Jiaheng Lu (University of Helsinki)
- 4. Yueguo Chen (Renmin University of China)
- 5. Xiaoyong Du (Renmin University of China)
BibTeX Citation
@article{han_vldb19,
title = {{PivotE: Revealing and Visualizing the Underlying Entity Structures for Exploration}},
author = {Han, Xueran and Chen, Jun and Lu, Jiaheng and Chen, Yueguo and Du, Xiaoyong},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1966--1969},
doi = {10.14778/3352063.3352111},
url = {https://doi.org/10.14778/3352063.3352111},
year = {2019}
}
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Outgoing Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 2,976 | Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web | 2007 | CIDR | 7.9066299e-05 |
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