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Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base

Summary: Subjective KB construction via crowdsourcing augments KBs with opinion-based facts. Two-stage framework: build a core subjective KB from KBs; then enrich with crowd-annotated subjective properties using cost-aware adaptive and batch-mode annotation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5514
Venue
SIGMOD
Year
2018
Pagerank
5.5574654e-05
Overall Rank
7,729 | 46.98%
DOI
10.1145/3183713.3183732

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xin_sigmod18,
        title = {{Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base}},
        author = {Xin, Hao and Meng, Rui and Chen, Lei},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183732},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183732},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,697 Subjective Databases 2019 VLDB 5.5659533e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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