Knowledge-based design cost estimation through extending industry foundation classes

Xu, S., Liu, K. and Li, V. ORCID: https://orcid.org/0000-0003-2878-3185 (2014) Knowledge-based design cost estimation through extending industry foundation classes. In: Proceedings of the 16th International Conference on Enterprise Information Systems, ICEIS2014, 27 - 30 April 2014, Lisbon, Portugal, pp. 161-168.

Abstract/Summary

In order to overcome divergence of estimation with the same data, the proposed digital 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 Bayesian Network based knowledge representation approach. 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.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/37491
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Henley Business School > Digitalisation, Marketing and Entrepreneurship
Uncontrolled Keywords	design cost estimation, knowledge representation, information system development, industry foundation classes
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