Semantic NLP-Based Information Extraction from Construction Regulatory Documents for Automated Compliance Checking

By Jiansong Zhang, Nora M. El-Gohary. Journal of computing in civil engineering, 2016

295 citations recorded by the source corpus.

Subfields: Building and Construction, Information Systems

View Paper: https://www.semanticscholar.org/paper/6149eea0b589fddbbeda46a0a92da3c097d2ef39

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Pieter-Jan Pauwels
2. Yong-Cheol Lee
3. Sijie Zhang

In Information Systems

1. Yong-Cheol Lee
2. Sijie Zhang
3. Pieter-Jan Pauwels

Citations in the corpus

• Semantic web technologies in AEC industry: A literature overview (2017, methodology): “[93] N.M. El-Gohary, T.E. El-Diraby, Domain ontology for processes in infrastructure and construction, J. Constr.”
• Edge-Based Agentic Retrieval-Augmented Generation for Autonomous FHWA Bridge Inspection Compliance (2026, unknown): “Early NLP-based approaches utilized rule-based Information Extraction (IE) and ontology-driven frameworks to map regulatory requirements into machine-readable formats such as Knowledge Graphs or LegalRuleML (Zhang and El-Gohary, 2016, 2017).”