Content Analysis Based on Knowledge Graph: A Practice on Chinese Construction Contracts

Qiqi Zhang, Zirui Hong and Xing Su ()
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Qiqi Zhang: Zhejiang University
Zirui Hong: Zhejiang University
Xing Su: Zhejiang University

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 823-837 from Springer

Abstract: Abstract The objective of this research is to present an innovative technique of extracting and presenting knowledge in construction documents. A construction project can generate a huge number of documents such as contract, correspondences, meeting minutes, quality and safety reports. Traditional document management methods cannot automatically process the information within the documents. Natural language processing is a promising tool to improve information extraction and knowledge management. In this article, we use a conditional random field model to extract domain terms from construction documents. Based on the extraction results, we transfer the contract into a knowledge graph. Then, we visualize the knowledge graphs and some tacit knowledge is found.

Keywords: Construction contracts; Natural language processing; Information extraction; Knowledge graph; Named entity recognition (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_59

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DOI: 10.1007/978-981-15-8892-1_59

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