Jackpine3D: a benchmark for evaluating 3D spatial database features

DOIResolve DOI: https://doi.org/10.1109/CASCON66301.2025.00049
AuthorSearch for: 1; Search for: 1; Search for: 1; Search for: 2; Search for: 3ORCID identifier: https://orcid.org/0000-0002-3460-6946
Affiliation
  1. University of New Brunswick
  2. Queen's University
  3. National Research Council Canada. Digital Technologies
FormatText, Article
Conference2025 IEEE International Conference on Collaborative Advances in Software and COmputiNg (CASCON), November 10-13, 2025, Toronto, Ontario, Canada
Subjectthree-dimensional displays; data analysis; metaverse; collaboration; relational databases; benchmark testing; spatial databases; database systems; software; digital twins
Abstract
Date published
PublisherInstitute of Electrical and Electronics Engineers
In
LanguageEnglish
Peer reviewedYes
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Record identifier91567a28-3bc1-4897-9b90-d0bd780c8474
Record created2026-04-16
Record modified2026-06-03

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