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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)

Paper ID
7360
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,793 | 25.96%
DOI
10.1145/3725410

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Authors

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}
}

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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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