LICS: Towards Theory-Informed Effective Visual Abstraction of Property Graph Schemas
Summary: LICS: theory-informed visual abstraction for property graph schemas (iconized composite schema) to replace cluttered LSGs; grounded in HCI and psychology, via the PASCAL interface. Map-Paint driven; user study shows LICS outperforms LSG in usability, query-formation efficiency, and schema comprehension. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kasidis Chanthatrojwong (Nanyang Technological University)
- 2. Sourav S Bhowmick (Nanyang Technological University)
- 3. Byron Choi (Hong Kong Baptist University)
BibTeX Citation
@inproceedings{chanthatrojwong_sigmod25,
title = {{LICS: Towards Theory-Informed Effective Visual Abstraction of Property Graph Schemas}},
author = {Chanthatrojwong, Kasidis and Bhowmick, Sourav S and Choi, Byron},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725410},
url = {https://dl.acm.org/doi/10.1145/3725410},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,729 | PASCAL: A Theory-Informed Visual Interface for Property Graph Schema Visualization | 2025 | SIGMOD | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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