Ontological Method for the Modeling and Management of Building Component Construction Process Information

Author:

Jia Lu1,Jin Yanfeng1,Liu Yang1,Lv Jing2

Affiliation:

1. School of Infrastructure Engineering, Nanchang University, Nanchang 330047, China

2. Zhongmei Engineering Grouping, Nanchang 330001, China

Abstract

Knowledge of the construction process plays a decisive role in guiding construction and thus affects the quality of buildings. However, the integration and relevance of information in the traditional process file are poor, and it is easy to ignore the process changes caused by the differences when applying information directly. Therefore, this paper introduces an ontological method for the information modeling and management of the construction process. The proposed method uses machine readable language to integrate process knowledge in a structured way, thereby improving the relevance of information and promoting the reuse, sharing and retrieval of knowledge. At the same time, the semantic web rule language (SWRL) rules are used to model the relevant laws and regulations with reference to the construction product quality acceptance regulations and to correlate the construction process information so as to ensure the compliance of building products and the accuracy of process information. Finally, the feasibility of the method is verified via specific use cases on an ontology implementation platform.

Funder

Science and Technology Plan Project of the Jiangxi Geological Bureau

Science and Technology Plan Project of the Jiangxi Coalfield Geological Bureau

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference32 articles.

1. Construction Planning Method Using Case-Based Reasoning (CONPLA-CBR);Ryu;J. Comput. Civ. Eng.,2007

2. The Semantic Web;Bernerslee;Sci. Am.,2001

3. Ontology and its applications in mechanical engineering;Zhao;Jisuanji Jicheng Zhizao Xitong/Comput. Integr. Manuf. Syst. CIMS,2007

4. Enabling Technology for Knowledge Sharing;Neches;AI Mag.,1991

5. An ontology based approach to the integration of entity–relationship schemas;He;Data Knowl. Eng.,2006

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3