Knowledge-based design cost estimation through extending industry foundation classesXu, 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.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryIn 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.
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