摘要
本文提出了一种基于Neo4j的草莓知识图谱构建方法。该方法以图结构的方式将草莓知识更加直观、简单地展现出来。使用模块化和格式化导入知识可以解决CREATE语句导入速度缓慢问题,而且精准度高,可以更快、更准确地获得三元组。可以利用知识图谱的内部结构来实现知识可视化和知识推理。结果表明,该方法在综合查询方面具有较好的效果,该研究构建的知识图谱可以用于草莓知识的智能问答、知识推荐、智能搜索等系统,可以为草莓生产管理提供高质量的知识。
This paper proposed a method for constructing strawberry knowledge graph based on Neo4j.This method displayed strawberry knowledge more intuitively and simply in the form of graph structure.Using modularization and formatting to import knowledge could solve the problem of slow import of CREATE statements,with high accuracy,which could obtain triples faster and more accurately.At the same time,the internal structure of the knowledge graph could be used to realize knowledge visualization and knowledge reasoning.The results showed that the method had good results in comprehensive query.The knowledge graph constructed by this research could be used for intelligent question and answer,knowledge recommendation,intelligent search and other systems of strawberry knowledge,could provide high-quality knowledge for strawberry production and management.
作者
张宇
郭文忠
林森
文朝武
龙洁花
ZHANG Yu;GUO Wenzhong;LIN Sen;WEN Chaowu;LONG Jiehua(College of Information Technology,Jilin Agricultural University,Changchun Jilin 130118;Beijing Agricultural Intelligent Equipment Technology Research Center,Beijing 100097)
出处
《现代农业科技》
2022年第1期223-230,234,共9页
Modern Agricultural Science and Technology
基金
北京市农林科学院青年基金(QNJJ202027)
国家自然科学基金项目(31601794)
北京市重点研发计划项目(D171100007617003)
宁夏回族自治区重点研发计划项目(2018BBF02024)。
关键词
Neo4j
草莓
知识图谱
构建
验证
Neo4j
strawberry
knowledge graph
construction
verification
作者简介
张宇(1997-),男,陕西榆林人,在读硕士研究生。研究方向:知识图谱研究;通信作者:林森。
