International Conference on Construction and Real Estate Management 2018
An Improved Case-Based Reasoning (CBR) System for Supporting Green Building Design
Publication: ICCREM 2018: Sustainable Construction and Prefabrication
ABSTRACT
In the last decades, green building has experienced a rapid development at a global scale. Although, the technologies of green building are developing fast, designers or managers often face challenges in the selection and application of green building technologies. Our research team has proposed an integrated system of text mining technique and case based reasoning (TM-CBR) for supporting green building design in the previous research. However, TM-CBR system has shortage that semantic similarity is not considered in case retrieval process. This may lead to inaccurate results by using TM-CBR system. This study introduces a new semantic similarity measure to improve the accuracy of results in the case retrieval process of TM-CBR. This method can help designers find more useful experiences from the existing green building practices.
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Information & Authors
Information
Published In
ICCREM 2018: Sustainable Construction and Prefabrication
Pages: 279 - 285
Editors: Yaowu Wang, Professor, Harbin Institute of Technology, Yimin Zhu, Professor, Louisiana State University, Geoffrey Q. P. Shen, Professor, Hong Kong Polytechnic University, and Mohamed Al-Hussein, Professor, University of Alberta
ISBN (Online): 978-0-7844-8173-8
Copyright
© 2018 American Society of Civil Engineers.
History
Published online: Aug 8, 2018
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