计算机科学
信息抽取
领域(数学分析)
正式规范
数据挖掘
可靠性工程
人工智能
软件工程
工程类
数学分析
数学
作者
Zhou Peng,Nora El-Gohary
出处
期刊:Journal of Computing in Civil Engineering
[American Society of Civil Engineers]
日期:2022-09-01
卷期号:36 (5)
被引量:1
标识
DOI:10.1061/(asce)cp.1943-5487.0001008
摘要
Automated specification energy compliance checking aims to check the compliance of building designs captured in building information models (BIMs) with energy requirements from contract specifications. However, automated extraction of requirements from specifications to support automated compliance checking is challenging because of the text complexities of the specifications, including hierarchically complex text structures, incomplete sentence structures, and a variety of levels of development (LODs). To address this challenge, this paper proposes a semantic information extraction method to extract building energy requirements automatically from specifications. Specifically, three new submethods are proposed to deal with these complexities: a domain-specific text splitting and stitching method, an incompleteness-aware sequential dependency extraction method, and a detail-aware LOD extraction method. The proposed information extraction method was tested in extracting thermal-insulation and lighting-power requirements from MasterFormat specifications. A performance of 96.8% recall and 97.6% precision was achieved on the testing data, which indicates the effectiveness of the proposed method.
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