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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
7298
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,520 | 26.82%
DOI
10.1145/3725410

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Rank Citing Paper Year Venue Pagerank
10,448 PASCAL: A Theory-Informed Visual Interface for Property Graph Schema Visualization 2025 SIGMOD 4.1945683e-05
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