EASE: An Effective 3-in-1 Keyword Search Method for Unstructured, Semi-structured and Structured Data
Summary: Proposes EASE, a 3-in-1 keyword search for unstructured, semi-structured, and structured data. It models data as graphs, builds graph indices, and uses an extended inverted index with a novel ranking to deliver fast, accurate queries, outperforming prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Guoliang Li (Tsinghua University)
- 2. Beng Chin Ooi (National University of Singapore)
- 3. Jianhua Feng (Tsinghua University)
- 4. Jianyong Wang (Tsinghua University)
- 5. Lizhu Zhou (Tsinghua University)
BibTeX Citation
@inproceedings{li_sigmod08,
title = {{EASE: An Effective 3-in-1 Keyword Search Method for Unstructured, Semi-structured and Structured Data}},
author = {Li, Guoliang and Ooi, Beng Chin and Feng, Jianhua and Wang, Jianyong and Zhou, Lizhu},
series = {{SIGMOD} '08},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1376616.1376706},
url = {https://dl.acm.org/doi/10.1145/1376616.1376706},
year = {2008}
}
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