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Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries

Summary: Proposes a theory-informed visual abstraction for property graphs: labeled composite graphs (LCG) built with VEDA. Introduces SIERRA, a Cypher-based visual query interface, showing in a study that it outperforms LAG-based tools in usability and aesthetics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6697
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,398 | 21.80%
DOI
10.1145/3589277

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Authors

BibTeX Citation

@inproceedings{ma_sigmod23,
        title = {{Theories and Principles Matter: Towards Visually Appealing and Effective Abstraction of Property Graph Queries}},
        author = {Ma, Jiebing and Bhowmick, Sourav S and Choi, Byron and Tay, Lester},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589277},
        url = {https://dl.acm.org/doi/10.1145/3589277},
        year = {2023}
}

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