Research on the construction of knowledge graph ontology for technology dynamic tracking

Under the background of rapid technology iteration, the dynamic tracking of technology is crucial to the development and innovation of enterprises and research institutions. This paper proposes a "seven-step method + V model" combined ontology construction method, guided by the needs of tracking technical trends. It constructs a domain ontology suitable for technical analysis based on the general characteristics of technology, and completes ontology modelling using Protégé. It selects multi-source data in the field of AI technology for empirical demonstration, and validates the method and model of this study by visual displaying the graph through neo4j, and validates the method and model according to the empirical demonstration. The ontology model constructed was evaluated and optimised according to the results of the empirical demonstration, which helped to improve the dynamic tracking capability of technology.

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Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/cisat66811.2025.11181721
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Research on the construction of knowledge graph ontology for technology dynamic tracking

Siyuan Zhu, Yongfang Wang, Hang Yu
Semantic Web and Ontologies
article

Research on the construction of knowledge graph ontology for technology dynamic tracking

Siyuan Zhu, Yongfang Wang, Hang Yu
article en

Abstract

Under the background of rapid technology iteration, the dynamic tracking of technology is crucial to the development and innovation of enterprises and research institutions. This paper proposes a "seven-step method + V model" combined ontology construction method, guided by the needs of tracking technical trends. It constructs a domain ontology suitable for technical analysis based on the general characteristics of technology, and completes ontology modelling using Protégé. It selects multi-source data in the field of AI technology for empirical demonstration, and validates the method and model of this study by visual displaying the graph through neo4j, and validates the method and model according to the empirical demonstration. The ontology model constructed was evaluated and optimised according to the results of the empirical demonstration, which helped to improve the dynamic tracking capability of technology.

Academy of Mathematics and Systems Science (CN)
Openalex Percentile: Top 86%
Semantic Web and Ontologies
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