计算机与数字工程2019，Vol.47Issue(8)：1961-1965,2055,6.DOI:10.3969/j.issn.1672-9722.2019.08.024
半自动构建扶贫领域知识图谱工具的研究
Research on Semi-automatic Construction of Knowledge Graph Tools for Poverty Alleviation
摘要
Abstract
At present,the construction of knowledge maps for poverty alleviation is relatively scarce. This paper is based on the data sources in the poverty alleviation field in Chongqing,and builds a set of tools for semi-automatic generation of knowledge maps. First,the LOAD statement is automatically generated and imported into the Neo4j graph database. Secondly,semantic map?ping is performed between different data classes in the Chongqing poverty alleviation data source according to the rules defined by the ontology. Based on the results obtained by the semantic mapping,the MATCH statement import graph database is automatically generated. Finally,the keyword is entered,through the Echarts component to achieve the map search function by character,rela?tionship query. Users and developers can use and maintain knowledge maps conveniently and transparently through a feature-rich application interface,which is of great significance to the application and disclosure of basic data for poverty alleviation depart?ments.关键词
知识图谱/本体/语义映射/Neo4j图数据库Key words
knowledge graph/ontology/semantic mapping/Neo4j graph database分类
信息技术与安全科学引用本文复制引用
胡欢,云红艳,贺英,张秀华..半自动构建扶贫领域知识图谱工具的研究[J].计算机与数字工程,2019,47(8):1961-1965,2055,6.基金项目
国家重点研发计划"云计算和大数据"专项-跨时空多源异构数据的融合、开放共享技术与平台(编号:2016YFB1001103)资助. （编号:2016YFB1001103）
