Semantization of Regulatory Documents in AECO to Automate the Building Permitting and Compliance

Learn how knowledge graphs combined with the latest natural language processing technologies aid regulatory information extraction and processing from unstructured data. The result is augmented traditional human-centric workflows that improve efficiency and enable the next generation of machine-ready applications for automated compliance checking.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-23
DOI
https://doi.org/10.5281/zenodo.15008954
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Semantization of Regulatory Documents in AECO to Automate the Building Permitting and Compliance

Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Neural Networks
article

Semantization of Regulatory Documents in AECO to Automate the Building Permitting and Compliance

article en

Abstract

Learn how knowledge graphs combined with the latest natural language processing technologies aid regulatory information extraction and processing from unstructured data. The result is augmented traditional human-centric workflows that improve efficiency and enable the next generation of machine-ready applications for automated compliance checking.

Zenodo (CERN European Organization for Nuclear Research)
Birmingham City University (GB), Ontotext (Bulgaria) (BG)
Openalex Percentile: Top 59%
Advanced Graph Neural Networks
DOIOpen Access PDFOpenAlex
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Semantization of Regulatory Documents in AECO to Automate the Building Permitting and Compliance · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS