TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks
Summary: Introduces instant error-tolerant spatial-keyword queries over road networks, supporting type-as-you-search despite typos. TASK’s reverse 2-hop-label trie unifies spatial/textual indexing for progressive results and updates, achieving 1–2 orders-of-magnitude speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Chengyang Luo (Zhejiang University)
- 2. Qing Liu (Zhejiang University)
- 3. Yunjun Gao (Zhejiang University)
- 4. Lu Chen (Zhejiang University)
- 5. Ziheng Wei (Huawei Cloud Computing Technologies Co., Ltd.)
- 6. Congcong Ge (Huawei Cloud Computing Technologies Co., Ltd.)
BibTeX Citation
@article{luo_vldb23,
title = {{TASK: An Efficient Framework for Instant Error-tolerant Spatial Keyword Queries on Road Networks}},
author = {Luo, Chengyang and Liu, Qing and Gao, Yunjun and Chen, Lu and Wei, Ziheng and Ge, Congcong},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {10},
pages = {2418--2430},
doi = {10.14778/3603581.3603584},
url = {https://doi.org/10.14778/3603581.3603584},
year = {2023}
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