Work

PASCAL: A Theory-Informed Visual Interface for Property Graph Schema Visualization

Year: 2025

Type: conference-paper

Abstract: Property graph schemas are essential for organizing property graph data, serving both prescriptive and descriptive roles. This has led to the recent development of property graph schema languages such as PG-Schema. While understanding of these languages requires familiarity with complex syntax, this poses usability challenges, particularly for domain experts who are not programmers. Current visual abstractions, such as the labeled schema graph (LSG), simplify representation but suffers from visual clutter and limited feature support. In this demonstration, we present a novel theory-informed visual interface called PASCAL for multi-modal visualization of property graph schemas to address these limitations.It realizes a novel visual abstraction called labeled iconized composite schema (LICS), whose design is informed by theories and principles from HCI, cognitive psychology, and visualization. Under the hood, it leverages the novel Map-Paint paradigm for creating and maintaining the visual components of LICS.

Source: Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI: 10.1145/3722212.3725123

Authors: Kasidis Chanthatrojwong, Sourav S. Bhowmick, Byron Choi

Institutions: Nanyang Technological University, Hong Kong Baptist University

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Universitas Brawijaya

Award: G3048683697