A method and system for constructing and applying a terminology database in the field of construction engineering.

By constructing a two-layer knowledge graph of terminology and standards in the field of construction engineering, the problem of insufficient semantic association and dynamic maintenance capabilities of the terminology database is solved, achieving efficient term extraction and semantic matching, and improving query accuracy and cross-standard interoperability.

CN121210673BActive Publication Date: 2026-05-26CHINA INST OF BUILDING STANDARD DESIGN & RES
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA INST OF BUILDING STANDARD DESIGN & RES
Filing Date
2025-09-09
Publication Date
2026-05-26

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Abstract

This invention relates to the field of terminology database technology in the construction engineering field, and discloses a method and system for constructing and applying a terminology database in the construction engineering field. The method includes preprocessing unstructured data to obtain structured construction engineering text data; extracting structured construction engineering text data based on a joint extraction architecture to obtain structured terminology data and construction engineering triple information; establishing a standard database and a terminology database; constructing a terminology-standard two-layer knowledge graph based on the inherent relationship between the standard database and the terminology database and the construction engineering triple information; and responding to user queries by using a hybrid decision-making mechanism based on rule-based reasoning and graph neural network learning to call the standard database, terminology database, and terminology-standard two-layer knowledge graph to obtain query results. This invention realizes an intelligent closed loop for the entire lifecycle of construction engineering terminology from extraction and management to application, solving the problems of difficult acquisition, complex management, and inefficient application of industry terminology knowledge.
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