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

In: Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Qiqi Zhang

    (Zhejiang University)

  • Zirui Hong

    (Zhejiang University)

  • Xing Su

    (Zhejiang University)

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.

Suggested Citation

  • Qiqi Zhang & Zirui Hong & Xing Su, 2021. "Content Analysis Based on Knowledge Graph: A Practice on Chinese Construction Contracts," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 823-837, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-8892-1_59
    DOI: 10.1007/978-981-15-8892-1_59
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