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[103] Decoding Parametric Design Data - Towards a Heterogeneous Design Search Space Remix

Seed Paper Seed Paper (General / Unclassified) 2017

Paper Description extracted from PDF · abstract · 139 words

Designers or Non-Designers are not able to effectively access, view, search, discover, collect, reuse, remix and share parametric design data (PDD) for either professional or educational purposes. PDD here refers to the meta-data of 3D models generated by visual dataflow modelling software packages used in CAD/CAM industry. This ineffectiveness is a direct consequence of the deliberately proprietary nature of most PDD file formats and the restricted use within their respective desktop-based software environments. This paper presents an initial software prototype capable of automating the process of decoding a commonly used PDD file format and then re-encoding it with new set of metrics to facilitate multiple PDD searchability, comparability and interoperability, via an integrated web interface querying a design data repository. All PDDs are conceptualized as genealogies of numerical or geometric transformations and explicitly encoded with a graph-based data structure.

AuthorsImmanuel Koh and Paul Keel and Jeffrey Huang
Year2017
VenueProceedings of the 22nd Conference on Computer Aided Architectural Design Research in Asia (CAADRIA)
DOI10.52842/CONF.CAADRIA.2017.117
Source DatabaseSeed (CumInCAD)
Bridge-to-GNNCategory Seed
GNN ArchitectureNot yet extracted from PDF
Graph EncodingNot yet extracted from PDF
AEC TaskNot yet extracted from PDF
CohortEarly Infrastructure (2020–2021)

Extracted Methodology heuristic — verify before citing

Implementation FrameworkGrasshopper / Rhino, Neo4j (heuristic — verify)
Primary MetricMean Average Precision (mAP) (heuristic — verify)
Key Findinginitial prototype capable of automating the decoding and re-encoding process of multiple PDDs (figure 1) belonging to a commonly P (heuristic — verify)
Quality Assessment1/6 · rigor: Low ·
Code/Data: ✓ (heuristic — verify)

Detected Technical Stack auto-detected from PDF · regex catalogue match

Frameworks / librariesGrasshopper / Rhino · Neo4j / Cypher
Quality (heuristic, 6-flag)0/6 · rigor: Low
Code/Data: —Benchmark: —Baseline: —CV/Split: —Ablation: —Reproducible: —

Lineage Families

None assigned

Enabled By / Precursors

None tracked

Extended By

None in corpus

Infrastructure Dependencies

BIM (auto-suggested) Grasshopper / Rhino (detected from PDF) Neo4j / Cypher (detected from PDF)

Research Frontier Tags

graph-ml-aec

Part of the GML/GNN in AEC Systematic Review (PRISMA 2020) — 112 papers, 2020–2026