SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search
Summary: SemExplorer offers a semantic UI for dataset search; NL queries are parsed by LLMs and translated into vectors and statistical filters. Context-dependent highlighting guides discovery and improves precision; a demo is online. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Zixin Wei (Chinese University of Hong Kong)
- 2. Jun Han (Hong Kong University of Science and Technology)
- 3. Xiaolin Han (Northwestern Polytechnical University)
- 4. Chenhao Ma (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{wei_sigmod25,
title = {{SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search}},
author = {Wei, Zixin and Han, Jun and Han, Xiaolin and Ma, Chenhao},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725133},
url = {https://dl.acm.org/doi/10.1145/3722212.3725133},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,627 | Revisiting Task-Oriented Dataset Search in the Era of Large Language Models: Challenges, Benchmark, and Solution | 2026 | VLDB | 5.093636e-05 |
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