Research on Automatic Extraction Strategy of Text Knowledge Graph Based on Gephi
Ren Shuaitao, Kong Chuang, Wang Hongwei, Hua Zhou · 2024
This paper aims to explore an automated strategy for extracting text knowledge graphs using the Python programming language and the Gephi visualization tool. We extract structured knowledge from the professional book "OPERATING SYSTEM CONCEPTS—NINTH EDITION" and build a knowledge graph. The paper elaborates on the entire process from data preprocessing, knowledge point extraction and storage, data transformation, relationship data extraction to the construction of the final graph data. It demonstrates how to efficiently convert complex text materials into easily analyzable graph forms through Gephi, providing a reference direction for simplifying complex text knowledge and related research work.