Data Summarization with Hierarchical Taxonomy
Summary: Proposes HSD to summarize dataset with k concepts from a hierarchical taxonomy, maximizing Q-coverage and minimizing non-Q items. Introduces a DP-on-trees algorithm and a HDAG-based heuristic; experiments confirm strong Q-coverage on both tree and HDAG data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xuliang Zhu (Hong Kong Baptist University)
BibTeX Citation
@inproceedings{zhu_sigmod21,
title = {{Data Summarization with Hierarchical Taxonomy}},
author = {Zhu, Xuliang},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3450578},
url = {https://dl.acm.org/doi/10.1145/3448016.3450578},
year = {2021}
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| 1,057 | YAGO3: A Knowledge Base from Multilingual Wikipedias | 2015 | CIDR | 0.00012387149 |
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