Microblog Entity Linking with Social Temporal Context
Summary: Real-time microblog entity linking via social-temporal context. Combines entity popularity, recency, and user-interest signals with efficient indexes and incremental algorithms to support high-throughput, low-latency linking. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wen Hua (Renmin University of China; University of Queensland)
- 2. Kai Zheng (Soochow University; University of Queensland)
- 3. Xiaofang Zhou (Soochow University; University of Queensland)
BibTeX Citation
@inproceedings{hua_sigmod15,
title = {{Microblog Entity Linking with Social Temporal Context}},
author = {Hua, Wen and Zheng, Kai and Zhou, Xiaofang},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2751522},
url = {https://dl.acm.org/doi/10.1145/2723372.2751522},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,905 | Medical Entity Disambiguation Using Graph Neural Networks | 2021 | SIGMOD | 6.4497268e-05 |
| 9,397 | Joint Open Knowledge Base Canonicalization and Linking | 2021 | SIGMOD | 5.2755515e-05 |
| 11,705 | TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs | 2021 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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