摘要
目前针对扶贫领域的知识图谱构建比较匮乏。论文是基于重庆扶贫领域内的数据源,构建一套半自动化生成知识图谱的工具。首先,自动生成LOAD语句导入Neo4j图数据库。其次,根据本体定义的规则与重庆扶贫数据源中的不同数据类之间进行语义映射。基于语义映射得到的结果,自动生成MATCH语句导入图数据库。最后,输入关键字,通过Echarts组件实现按人物、关系查询的图谱检索功能。用户和开发者可以通过功能丰富的应用界面,方便和透明地使用和维护知识图谱,对扶贫相关部门基础数据的应用和公开具有重要意义。
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 mapping 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,relationship 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 departments.
作者
胡欢
云红艳
贺英
张秀华
HU Huan;YUN Hongyan;HE Ying;ZHANG Xiuhua(College of Computer Science&Technology,Qingdao University,Qingdao 266071;School of Electronic Information,Qingdao University,Qingdao 266071)
出处
《计算机与数字工程》
2019年第8期1961-1965,2055,共6页
Computer & Digital Engineering
基金
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
