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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)

Paper ID
12100
Venue
VLDB
Year
2019
Pagerank
5.093636e-05
Overall Rank
11,880 | 18.50%
DOI
10.14778/3352063.3352111

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Authors

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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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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