A Semantic Approach for Automated Rule Compliance Checking in Construction Industry

Automated Compliance Checking (ACC) of building/construction projects is one of the important applications in Architecture, Engineering and Construction (AEC) industry, because it provides the checking processes and results of whether a building design complies with relevant laws, policies and regul...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.129648-129660
Main Authors: Guo, Dongming, Onstein, Erling, Rosa, Angela Daniela La
Format: Article
Language:English
Subjects:
Automated compliance checking
Automation
Building design
Buildings
Compliance
Construction industry
data extraction
Data mining
ifcOWL
Keywords
Natural language processing
Object oriented modeling
Queries
Regulation
Semantics
Software
SPARQL generation
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Summary:Automated Compliance Checking (ACC) of building/construction projects is one of the important applications in Architecture, Engineering and Construction (AEC) industry, because it provides the checking processes and results of whether a building design complies with relevant laws, policies and regulations. Currently, Automated Compliance Checking still involves lots of manual operations, and massive time and cost consumption. Additionally, some sub-tasks of ACC have been researched, while few studies can automatically implement the whole ACC process. To solve related issues, we proposed a semantic approach to implement the whole ACC process in an automated way. Natural Language Processing (NLP) is used to extract rule terms and logic relationships among these terms from text regulatory documents. Rule terms are mapped to keywords (concepts or properties) in BIM data through term matching and semantic similarity analysis. After that, according to the mapped keywords in BIM and logic relationships among keywords, a corresponding SPARQL query is automatically generated. The query results can be non-compliance or compliance with rules based on the generated SPARQL query and requirements of stakeholders. The cases study proves that the proposed approach can provide a flexible and effective rule checking for BIM data. In addition, based on the proposed approach, we also further develop a semantic framework to implement automated rule compliance checking in construction industry.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3108226