4.6 Article

A Semantic Approach for Automated Rule Compliance Checking in Construction Industry

期刊

IEEE ACCESS
卷 9, 期 -, 页码 129648-129660

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3108226

关键词

Automated compliance checking; data extraction; ifcOWL; natural language processing; SPARQL generation

向作者/读者索取更多资源

Automated Compliance Checking (ACC) is crucial in the Architecture, Engineering and Construction (AEC) industry, however, it still involves manual operations and high costs. A semantic approach is proposed to automate the whole ACC process, extracting rule terms and logic relationships from text regulatory documents using NLP, mapping them to BIM data keywords for generating SPARQL queries, providing flexible and effective rule checking for BIM data.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据