农业知识图谱项目安装

项目地址：

qq547276542/Agriculture_KnowledgeGraph: 农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策 (github.com)

1.安装Neo4j

docker run -d --name neo4j -p 7474:7474 -p 7687:7687 -v /home/neo4j/data:/data -v /home/neo4j/logs:/logs -v /home/neo4j/conf:/var/lib/neo4j/conf -v /home/neo4j/import:/var/lib/neo4j/import --env NEO4J_AUTH=neo4j/password neo4j

2.上传数据到Neo4j

[root@localhost ~]# docker cp /opt/hudong_pedia.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/hudong_pedia2.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/new_node.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/wikidata_relation.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/wikidata_relation2.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/attributes.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/static_weather_list.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/weather_plant.csv neo4j:/var/lib/neo4j/import
[root@localhost ~]# docker cp /opt/neo4j/city_weather.csv neo4j:/var/lib/neo4j/import

3.导入数据到Neo4j

访问http://ip::7474/browser/ 使用neo4j/password 登录，并在执行命令框，执行如下命令

LOAD CSV WITH HEADERS  FROM "file:///var/lib/neo4j/import/hudong_pedia.csv" AS line  
CREATE (p:HudongItem{title:line.title,image:line.image,detail:line.detail,url:line.url,openTypeList:line.openTypeList,baseInfoKeyList:line.baseInfoKeyList,baseInfoValueList:line.baseInfoValueList})  

LOAD CSV WITH HEADERS  FROM "file:///var/lib/neo4j/import/hudong_pedia2.csv" AS line  
CREATE (p:HudongItem{title:line.title,image:line.image,detail:line.detail,url:line.url,openTypeList:line.openTypeList,baseInfoKeyList:line.baseInfoKeyList,baseInfoValueList:line.baseInfoValueList})  

// 导入新的节点
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/new_node.csv" AS line
CREATE (:NewNode { title: line.title })

//添加索引
CREATE CONSTRAINT ON (c:NewNode)
ASSERT c.title IS UNIQUE

//导入hudongItem和新加入节点之间的关系
LOAD CSV  WITH HEADERS FROM "file:///var/lib/neo4j/import/wikidata_relation2.csv" AS line
MATCH (entity1:HudongItem{title:line.HudongItem}) , (entity2:NewNode{title:line.NewNode})
CREATE (entity1)-[:RELATION { type: line.relation }]->(entity2)

LOAD CSV  WITH HEADERS FROM "file:///var/lib/neo4j/import/wikidata_relation.csv" AS line
MATCH (entity1:HudongItem{title:line.HudongItem1}) , (entity2:HudongItem{title:line.HudongItem2})
CREATE (entity1)-[:RELATION { type: line.relation }]->(entity2)



LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/attributes.csv" AS line
MATCH (entity1:HudongItem{title:line.Entity}), (entity2:HudongItem{title:line.Attribute})
CREATE (entity1)-[:RELATION { type: line.AttributeName }]->(entity2);
                                                            
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/attributes.csv" AS line
MATCH (entity1:HudongItem{title:line.Entity}), (entity2:NewNode{title:line.Attribute})
CREATE (entity1)-[:RELATION { type: line.AttributeName }]->(entity2);
                                                            
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/attributes.csv" AS line
MATCH (entity1:NewNode{title:line.Entity}), (entity2:NewNode{title:line.Attribute})
CREATE (entity1)-[:RELATION { type: line.AttributeName }]->(entity2);
                                                            
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/attributes.csv" AS line
MATCH (entity1:NewNode{title:line.Entity}), (entity2:HudongItem{title:line.Attribute})
CREATE (entity1)-[:RELATION { type: line.AttributeName }]->(entity2)  

//我们建索引的时候带了label，因此只有使用label时才会使用索引，这里我们的实体有两个label，所以一共做2*2=4次。当然，可以建立全局索引，即对于不同的label使用同一个索引
                                                            
															
//导入节点
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/static_weather_list.csv" AS line
MERGE (:Weather { title: line.title })

//添加索引
CREATE CONSTRAINT ON (c:Weather)
ASSERT c.title IS UNIQUE



将wikidataSpider/weatherData/weather_plant.csv放在指定的位置(import文件夹下)
//导入hudongItem和新加入节点之间的关系
LOAD CSV  WITH HEADERS FROM "file:///var/lib/neo4j/import/weather_plant.csv" AS line
MATCH (entity1:Weather{title:line.Weather}) , (entity2:HudongItem{title:line.Plant})
CREATE (entity1)-[:Weather2Plant { type: line.relation }]->(entity2)
导入城市的气候

将city_weather.csv放在指定的位置(import 文件夹下)
(这步大约需要15分钟左右)
//导入城市对应的气候
LOAD CSV WITH HEADERS FROM "file:///var/lib/neo4j/import/city_weather.csv" AS line
MATCH (city{title:line.city}) , (weather{title:line.weather})
CREATE (city)-[:CityWeather { type: line.relation }]->(weather)

4.安装python包

pip install -r requirement.txt -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

5.修改Neo4j用户

进入demo/Model/neo_models.py,修改第9行的neo4j账号密码，改成你自己的

6.启动服务

进入demo目录，然后运行如下命令

python manage.py runserver

农业知识图谱项目安装

原文：https://www.cnblogs.com/daodaoxun/p/14849459.html