科研成果详情

题名Applying organizational semiotics for developing Knowledge-Based cost estimation of construction project
作者
发表日期2015
会议名称16th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2015
会议录名称IFIP Advances in Information and Communication Technology
ISBN9783319162737
ISSN1868-4238
卷号449
页码80-91
会议日期March 19-20, 2015
会议地点Toulouse, France
摘要

Cost estimation is a dynamic and knowledge intensive process. Current practice of construction cost estimation is a process with fragmented knowledge. In order to have an integrated process, semantic should be modelled in respect to pragmatic. The investigation of BIM-based cost estimation confirmed that IFC can provide construction project semantics but incapable of relating domain semantics and pragmatics. In order to overcome this gap, we adopt organizational semiotics to fully reveal semantic units of cost estimation from a process perspective. Pilot study confirms feasibility of this approach. Future research will be a case study to collect all the instances for semantic units. Then semantic consistency and pragmatic implementation should be realized by the applications. This research highlights the importance of alignment between semantic (domain ontology) and pragmatic (meaning in use), it contributes also to identify a new approach of knowledge engineering for construction professional services under BIM environment.

关键词Analytical cost estimation Industry foundation classes Information system development Knowledge representation Quantity surveying
DOI10.1007/978-3-319-16274-4_9
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语种英语English
Scopus入藏号2-s2.0-84925246708
引用统计
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/11909
专题个人在本单位外知识产出
北师香港浸会大学
作者单位
1.Informatics Research Centre,Henley Business School,University of Reading,Reading,RG6 6UD,United Kingdom
2.Department of Architecture and Built Environment,University of Nottingham Ningbo,199 Taikang East Road,315100,China
推荐引用方式
GB/T 7714
Xu, Shen,Liu, Kecheng,Tang, Llewellyn C.M. Applying organizational semiotics for developing Knowledge-Based cost estimation of construction project[C], 2015: 80-91.
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