International Conference on Construction and Real Estate Management 2020
Building Energy Efficiency Related Knowledge Mining Based on Natural Language Processing
Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings
ABSTRACT
With the advent of information technology, information and knowledge become huge and difficult to deal with. Because of the complex work involved in building products, it is very important to excavate the knowledge related. This paper uses natural language processing and Python programming to realize data preprocessing, Chinese segmentation, and relationship extraction based on co-occurrence principle. Finally, 10 documents from CNKI about building energy conservation are chosen. It is found that building energy conservation is significantly related to the concepts of thermal insulation materials and technology, which proves that natural language processing, can effectively help us to excavate knowledge.
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ACKNOWLEDGEMENTS
This study is financially supported by the National Key Research and Development Program of China (Grant No. 2018YFC0704400).
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Information & Authors
Information
Published In
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 231 - 237
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Oct 14, 2020
Published in print: Oct 14, 2020
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