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)
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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