کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4911353 | 1428290 | 2017 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Integrating semantic NLP and logic reasoning into a unified system for fully-automated code checking
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی عمران و سازه
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چکیده انگلیسی
Existing automated compliance checking (ACC) systems are limited in their automation; they rely on the use of hard-coded, proprietary rules for representing regulatory requirements, which requires major manual effort in extracting regulatory information from textual regulatory documents and coding these information into a rule format. To address this limitation, this paper proposes a new unified ACC system that integrates: (1) semantic natural language processing techniques and EXPRESS data-based techniques to automatically extract and transform both regulatory information (in regulatory documents) and design information [in building information models (BIMs)] for automated compliance reasoning, and (2) semantic logic-based information representation so that the reasoning could be fully automated. To test the proposed system, a BIM test case was checked for compliance with Chapter 19 of the International Building Code 2009. Comparing to a manually-developed gold standard, 98.7% recall and 87.6% precision in noncompliance detection were achieved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 73, January 2017, Pages 45-57
Journal: Automation in Construction - Volume 73, January 2017, Pages 45-57
نویسندگان
Jiansong Zhang, Nora M. El-Gohary,