科技创新与应用2024，Vol.14Issue(11)：37-40,4.DOI:10.19981/j.CN23-1581/G3.2024.11.009
基于本体库的知识抽取及图谱构建技术
李津1
作者信息
- 1. 中南林业科技大学涉外学院 信息与工程学院,长沙 410211
- 折叠
摘要
Abstract
This paper first introduces the architecture of ontology library in the domain,as well as the main functions of basic data analysis and WordNet excerpt.Then,an entity data extraction technology based on ontology library is proposed to establish semantic relationships between different entities and pave the way for knowledge extraction.In the process of entity information extraction,we should first judge whether the web page is in the domain,divide the web page content according to the specific label after determining whether the web page belongs to the domain,and then extract the valuable entity data.The extracted entity data is stored in Neo4j database,and the data in the knowledge graph is updated regularly.When the data needs to be called,the needed data can be retrieved from the knowledge graph,so as to realize the integrated utilization of data resources and give full play to the value of the data.关键词
本体库/实体数据抽取/Neo4j数据库/数据检索/知识图谱Key words
ontology database/entity data extraction/Neo4j database/data retrieval/knowledge graph分类
信息技术与安全科学引用本文复制引用
李津..基于本体库的知识抽取及图谱构建技术[J].科技创新与应用,2024,14(11):37-40,4.
