Ontology-Based Knowledge Modeling for Frame Assemblies Manufacturing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ontology-Based Knowledge Modeling for Frame Assemblies Manufacturing Shi An, Pablo Martinez, Rafiq Ahmad and Mohamed Al-Hussein Pages 709-715 (2019 Proceedings of the 36th ISARC, Banff, Canada, ISBN 978-952-69524-0-6, ISSN 2413-5844) Abstract: As modular construction becomes popular, an increasing number of products are prefabricated in an offsite construction environment. While improving the productivity and efficiency of construction-oriented production, it also raises the complexity of process planning. Although the specifications of a product are fully defined by Building Information Models (BIM), no information is provided on how construction products are manufactured and assembled. This paper proposes an ontology-based approach aimed to link construction-oriented product assemblies and manufacturing resources using manufacturing operations. By identifying intersections of connecting members of a product assembly, feasible manufacturing methods and resources are determined based on expert knowledge and machine configurations. The proposed approach is validated using a wood frame assembly. Keywords: Building information modeling; Ontology modeling; Offsite construction; Construction automation; Construction manufacturing DOI: https://doi.org/10.22260/ISARC2019/0095 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it