Authors:
Shen Xu
1
;
Kecheng Liu
2
and
Weizi Li
1
Affiliations:
1
University of Reading, United Kingdom
;
2
Shanghai University of Finance and Economics, China
Keyword(s):
Design Cost Estimation, Knowledge Representation, Information System Development, Industry Foundation Classes.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Industrial Applications of Artificial Intelligence
;
Information Systems Analysis and Specification
;
Software Engineering
Abstract:
In order to overcome divergence of estimation with the same data, the proposed costing process adopts an integrated design of information system to design the process knowledge and costing system together. By employing and extending a widely used international standard, industry foundation classes, the system can provide an integrated process which can harvest information and knowledge of current quantity surveying practice of costing method and data. Knowledge of quantification is encoded from literatures, motivation case and standards. It can reduce the time consumption of current manual practice. The further development will represent the pricing process in a different type of knowledge representation. The hybrid types of knowledge representation can produce a reliable estimation for construction project. In a practical term, the knowledge management of quantity surveying can improve the system of construction estimation. The theoretical significance of this study lies in the fact
that its content and conclusion make it possible to develop an automatic estimation system based on hybrid knowledge representation approach.
(More)