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Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs
Research article (Automation in Construction, 2021) · cited 41× · AI/ML
Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs
Summary
Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs is a scholarly article[1].
Key Facts
Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs. Retrieved May 24, 2026, from https://4ort.xyz/entity/video2entities-a-computer-vision-based-entity-extraction-framework-for-updating-the-architecture-engineering-and-constru
MLA“Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/video2entities-a-computer-vision-based-entity-extraction-framework-for-updating-the-architecture-engineering-and-constru.
BibTeX@misc{4ortxyz_video2entities-a-computer-vision-based-entity-extraction-framework-for-updating-the-architecture-engineering-and-constru_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs}}, year = {2026}, url = {https://4ort.xyz/entity/video2entities-a-computer-vision-based-entity-extraction-framework-for-updating-the-architecture-engineering-and-constru}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Video2Entities: A computer vision-based entity extraction framework for updating the architecture, engineering and construction industry knowledge graphs — https://4ort.xyz/entity/video2entities-a-computer-vision-based-entity-extraction-framework-for-updating-the-architecture-engineering-and-constru (retrieved 2026-05-24)
