YASK: A Why-Not Question Answering Engine for Spatial Keyword Query Services
Summary: YASK extends spatial-keyword top-k services with systematic why-not analysis for missing objects. It explains omissions via preference adjustment or keyword adaptation and proposes refined queries that revive them, through a map-based interactive interface. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Lei Chen (Hong Kong Baptist University)
- 2. Jianliang Xu (Hong Kong Baptist University)
- 3. Christian S. Jensen (Aalborg University)
- 4. Yafei Li (Hong Kong Baptist University)
BibTeX Citation
@article{chen_vldb16,
title = {{YASK: A Why-Not Question Answering Engine for Spatial Keyword Query Services}},
author = {Chen, Lei and Xu, Jianliang and Jensen, Christian S. and Li, Yafei},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1501--1504},
doi = {10.14778/3007263.3007294},
url = {https://doi.org/10.14778/3007263.3007294},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 385 | Why Not? | 2009 | SIGMOD | 0.00019455743 |
| 1,819 | Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects | 2009 | VLDB | 9.6810907e-05 |
| 2,895 | Answering Why-not Questions on Reverse Top-k Queries | 2015 | VLDB | 7.9829449e-05 |
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