Java教程
中华古诗词知识图谱之实体关系构建&导入neo4j数据库
本文主要是介绍中华古诗词知识图谱之实体关系构建&导入neo4j数据库，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！
实体分析
诗名实体
属性
包含：作诗时间，诗名，内容，翻译，背景。
关系
| 实体1 | 关系 | 实体2 |
| 诗名 | 形式 | 诗词形式 |
| 诗名 | 作者 | 诗人 |
| 诗名 | 分类 | 类别 |
| 诗名 | 词牌名 | 词牌名 |
| 诗名 | 曲牌名 | 曲牌名 |
| 诗名 | 朝代 | 朝代 |
诗人实体
属性
包含：出生时间，头像链接，去世时间，诗词数量，字，号，名字，简介。
关系
| 实体1 | 关系 | 实体2 |
| 诗人 | 好友 | 诗人 |
| 诗人 | 合称 | 诗人合称 |
| 诗人 | 轨迹 | 地点 |
| 诗人 | 写作 | 诗名 |
| 诗人 | 朝代 | 朝代 |
朝代实体
属性
包含：朝代名称（唐宋元明清）
关系
| 实体1 | 关系 | 实体2 |
| 朝代 | 包含 | 诗人 |
| 朝代 | 包含 | 诗名 |
类别实体
属性
包含：类别名称（写景，抒怀，。。。）
关系
| 实体1 | 关系 | 实体2 |
| 类别 | 包含 | 诗名 |
诗词形式实体
属性
包含：诗词形式名称（五言律诗，五言绝句，五言，七言律诗，七言绝句，七言）
关系
| 实体1 | 关系 | 实体2 |
| 诗词形式 | 包含 | 诗名 |
词牌名实体
属性
包含：词牌名名称
关系
| 实体1 | 关系 | 实体2 |
| 词牌名 | 包含 | 诗名 |
曲牌名实体
属性
包含：曲牌名名称
关系
| 实体1 | 关系 | 实体2 |
| 曲牌名 | 包含 | 诗名 |
诗人合称实体
属性
诗人合称名称
关系
| 实体1 | 关系 | 实体2 |
| 诗人合称 | 包含 | 诗人 |
地点实体
属性
包含：古代地点名称，经纬度，现今名称
事件实体
属性
包含：时间，事件名称，地点
诗句实体与关键字实体
属性
数据内容，关键字内容
关系
| 实体1 | 关系 | 实体2 |
| 诗句 | 关键字 | 字 |
| 字 | 诗句 | 诗句 |
实体构建
构建顺序
构建的原则：
先构建单个实体，不易发生多种关系的单个实体。
例如：类别，诗词形式，词牌名，曲牌名，朝代，诗人合称，轨迹，事件
多关系实体：诗人，诗名
类别实体构建
create_tag.py
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_tag():
file = './data2/tag_name.xlsx'
data = pd.read_excel(file).fillna("无")
tag=list(data.tag)
tag_label="tag"
for it in tag:
attr1={"name":it}
CreateNode(graph, tag_label, attr1)
print("创建诗词分类："+it+"成功！！")
if __name__ == '__main__':
create_tag()
展示
诗词形式实体构建
create_formal.py
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_formal():
formal=['七言','五言','七言律诗','七言绝句','五言律诗','五言绝句']
formal_label="formal"
for it in formal:
attr1={"name":it}
CreateNode(graph, formal_label, attr1)
print("创建诗词形式："+it+"成功！！")
if __name__ == '__main__':
create_formal()
展示
词牌名与曲牌名实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_pai_name():
file = './data2/cipai_name.xlsx'
data = pd.read_excel(file).fillna("无")
title=list(data.title)
cipai_label="ci_pai"
for it in title:
attr1={"name":it}
CreateNode(graph, cipai_label, attr1)
print("创建词牌名"+it+"成功！！")
file2 = './data2/qupai_name.xlsx'
data2 = pd.read_excel(file2).fillna("无")
title2 = list(data2.qu_name)
qupai_label = "qu_pai"
for it in title2:
attr1 = {"name": it}
CreateNode(graph, qupai_label, attr1)
print("创建曲牌名" + it + "成功！！")
if __name__ == '__main__':
create_pai_name()
展示
飞花令关键字实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_word():
file = './data2/word.xlsx'
data = pd.read_excel(file).fillna("无")
word=list(data.word)
word_label="word"
for it in word:
attr1={"name":it}
CreateNode(graph, word_label, attr1)
print("创建飞花令："+it+"成功！！")
if __name__ == '__main__':
create_word()
展示
诗句实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
#根绝节点name属性，查找节点
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
#获取指定文件夹下的excel
import os
def get_filename(path,filetype): # 输入路径、文件类型例如'.xlsx'
name = []
for root,dirs,files in os.walk(path):
for i in files:
if os.path.splitext(i)[1]==filetype:
name.append(i)
return name # 输出由有后缀的文件名组成的列表
def create_sentence():
file = 'sentences/'
lists = get_filename(file, '.xlsx')
for it in lists:
newfile = file + it
print(newfile)
# 获取诗词内容
data = pd.read_excel(newfile).fillna("无")
sentens = list(data.sentens)
author = list(data.author)
title = list(data.title)
keys = list(data.word)
sentence_label='sentence'
word_label='word'
if len(sentens)>50000:
lenth=50000
else:
lenth=len(sentens)
for i in range(lenth):
print("第" + str(i) + "个")
attr1 = {"name": sentens[i], "author": author[i], "title": title[i]}
CreateNode(graph, sentence_label, attr1)
print("创建诗句：" + sentens[i] + "成功！！")
word_list=keys[i].split(',')
for it in word_list:
attr2 = {"name": it}
# 创建关系
m_r_name1 = "关键字"
reValue1 = CreateRelationship(graph, sentence_label, attr1, word_label, attr2, m_r_name1)
print("创建关系：" + sentens[i] + "-关键字-" + it + "成功")
m_r_name2 = "诗句"
reValue2 = CreateRelationship(graph, word_label, attr2, sentence_label, attr1, m_r_name2)
print("创建关系：" + it + "-诗句-" + sentens[i] + "成功")
if __name__ == '__main__':
create_sentence()
展示
诗人与朝代实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_author():
file='./data2/author.xlsx'
data=pd.read_excel(file).fillna("无")
author=list(data.author)
produce=list(data.produce)
num=list(data.num)
src=list(data.src)
desty=list(data.desty)
bg_time=list(data.begin_time)
ed_time=list(data.end_time)
zi_list=list(data.zi)
hao_list=list(data.hao)
author_label='author'
desty_label='desty'
for i in range(len(author)):
print("第"+str(i)+"个")
attr1 = {"name": author[i], "produce": produce[i], "num": num[i],
"src": src[i],"bg_time":bg_time[i],"ed_time":ed_time[i],"zi":zi_list[i],"hao":hao_list[i]}
CreateNode(graph, author_label, attr1)
print("创建诗人：" + author[i] + "成功！！")
attr2={"name":desty[i]}
if MatchNode(graph,desty_label,attr2)==None:
CreateNode(graph,desty_label,attr2)
print("创建朝代："+desty[i]+"成功！！")
#创建关系
m_r_name1 = "朝代"
reValue1 = CreateRelationship(graph, author_label, attr1, desty_label, attr2, m_r_name1)
print("创建关系："+author[i]+"-所属朝代-"+desty[i]+"成功")
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph,desty_label, attr2, author_label, attr1, m_r_name2)
print("创建关系：" + desty[i] + "-包含-" + author[i] + "成功")
if __name__ == '__main__':
create_author()
展示
诗人好友关系构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
#根绝节点name属性，查找节点
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_friend():
file = 'data2/friend_ming.xlsx'
# 获取诗词内容
data = pd.read_excel(file).fillna("无")
author=list(data.author)
friend=list(data.friend)
author_label='author'
for i in range(len(author)):
print("第" + str(i) + "个")
attr1 = {"name": author[i]}
if MatchNode(graph, author_label, attr1) != None:
friend_list=friend[i].split(',')
for it in friend_list:
attr2 = {"name": it}
if MatchNode(graph, author_label, attr2) != None and it!=author[i]:
# 创建关系
m_r_name1 = "好友"
reValue1 = CreateRelationship(graph, author_label, attr1, author_label, attr2, m_r_name1)
print("创建关系：" + author[i] + "-好友-" + it + "成功")
m_r_name2 = "好友"
reValue2 = CreateRelationship(graph, author_label, attr2, author_label, attr1, m_r_name2)
print("创建关系：" + it + "-好友-" + author[i] + "成功")
if __name__ == '__main__':
create_friend()
展示
诗人合称实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
def create_common_name():
file = './data2/common_name.xlsx'
data = pd.read_excel(file).fillna("无")
hc=list(data.hc)
author=list(data.author)
common_name_label="common_name"
author_label="author"
for i in range(len(hc)):
common_name=hc[i]
authors=author[i].split(',')
attr1={"name":common_name}
CreateNode(graph, common_name_label, attr1)
print("创建合称："+common_name+"成功！！")
for it in authors:
attr2={"name":it}
# 创建关系
m_r_name1 = "合称"
reValue1 = CreateRelationship(graph, author_label, attr2, common_name_label, attr1, m_r_name1)
print("创建关系：" + it + "-合称-" + common_name + "成功")
# 创建关系
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph,common_name_label, attr1, author_label, attr2, m_r_name2)
print("创建关系：" + common_name + "-包含-" + it+ "成功")
if __name__ == '__main__':
create_common_name()
展示
诗人事迹实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
#根绝节点name属性，查找节点
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
#获取指定文件夹下的excel
import os
def get_filename(path,filetype): # 输入路径、文件类型例如'.xlsx'
name = []
for root,dirs,files in os.walk(path):
for i in files:
if os.path.splitext(i)[1]==filetype:
name.append(i)
return name # 输出由有后缀的文件名组成的列表
def read_real_where_name():
file='data2/gu_jin_lng_lat.xlsx'
data=pd.read_excel(file)
gu_name=list(data.gu_name)
return gu_name
def read_where(author,file,gu_name):
data=pd.read_excel(file)
date=list(data.data)
where_name=list(data.wheres)
things=list(data.things)
for i in range(len(date)):
#处理地区，满足我们需要的地区条件
where_list=where_name[i].split(',')
for it in where_list:
if it in gu_name and it!='无':
attr1={"name":things[i],"date":date[i],"where_name":where_name[i]}
CreateNode(graph, things_label, attr1)
print("创建事件：" + things[i] + "-成功！！")
attr2 = {"name": author}
# 创建关系
m_r_name1 = "事迹"
reValue1 = CreateRelationship(graph, author_label, attr2, things_label, attr1, m_r_name1)
print("创建关系：" + author + "-事迹-" + things[i] + "-成功")
break
if __name__ == '__main__':
file = 'author/'
lists = get_filename(file, '.xlsx')
gu_name = read_real_where_name()
author_label='author'
things_label='things'
for it in lists:
newfile = file + it
print(newfile)
author = it.split('.')[0]
print(author)
read_where(author,newfile,gu_name)
展示
诗人轨迹地点实体构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
#根绝节点name属性，查找节点
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
#获取指定文件夹下的excel
import os
def get_filename(path,filetype): # 输入路径、文件类型例如'.xlsx'
name = []
for root,dirs,files in os.walk(path):
for i in files:
if os.path.splitext(i)[1]==filetype:
name.append(i)
return name # 输出由有后缀的文件名组成的列表
def read_real_where_name():
file='data2/gu_jin_lng_lat.xlsx'
data=pd.read_excel(file)
gu_name=list(data.gu_name)
return gu_name
def read_gu_dict():
file = 'data2/gu_jin_lng_lat.xlsx'
data = pd.read_excel(file)
gu_name = list(data.gu_name)
jin_name=list(data.jin_name)
lng=list(data.lng)
lat=list(data.lat)
gu_dict={}
for i in range(len(gu_name)):
gu=gu_name[i]
gu_dict[gu]={"jin_name":jin_name[i],"lng":lng[i],"lat":lat[i]}
return gu_dict
def read_where(author,file,gu_name):
data=pd.read_excel(file)
wheres=data.wheres
real_where=[]
for i in range(len(wheres)):
where_name=wheres[i]
where_list=where_name.split(',')
for it in where_list:
if it in gu_name and it!='无':
real_where.append(it)
real_where=list(set(real_where))
if len(real_where)!=0:
for it in real_where:
jin=gu_dict[it]['jin_name']
lat=gu_dict[it]['lat']
lng=gu_dict[it]['lng']
attr1 = {"name":it,"jin_name": jin,"lng":lng,"lat":lat}
CreateNode(graph, where_name_label, attr1)
print("创建地点：" + it + "成功！！")
attr2 = {"name": author}
# 创建关系
m_r_name1 = "轨迹"
reValue1 = CreateRelationship(graph, author_label, attr2, where_name_label, attr1, m_r_name1)
print("创建关系：" + author + "-轨迹-" + it + "成功")
if __name__ == '__main__':
file = 'author/'
lists = get_filename(file, '.xlsx')
gu_name = read_real_where_name()
gu_dict = read_gu_dict()
author_label='author'
where_name_label='where_name'
for it in lists:
newfile = file + it
print(newfile)
author = it.split('.')[0]
read_where(author,newfile, gu_name)
展示
诗词实体关系构建
import pandas as pd
import numpy as np
import re
from py2neo import Node,Relationship,Graph,NodeMatcher,RelationshipMatcher
# 创建节点
def CreateNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
#print(re_value)
if re_value is None:
m_mode = Node(m_label,**m_attrs)
n = graph.create(m_mode)
return n
return None
# 查询节点
def MatchNode(m_graph,m_label,m_attrs):
m_n="_.name="+"\'"+m_attrs['name']+"\'"
matcher = NodeMatcher(m_graph)
re_value = matcher.match(m_label).where(m_n).first()
return re_value
# 创建关系
def CreateRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph,m_label1,m_attrs1)
reValue2 = MatchNode(m_graph,m_label2,m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1,m_r_name,reValue2)
n = graph.create(m_r)
return n
#查找关系
def findRelationship(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
m_r = Relationship(reValue1, m_r_name['name'], reValue2)
return m_r
def updateRelation(m_graph,m_label1,m_attrs1,m_label2,m_attrs2,m_r_name):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
reValue2 = MatchNode(m_graph, m_label2, m_attrs2)
if reValue1 is None or reValue2 is None:
return False
print(m_r_name)
propertyes={'value': m_r_name['value'], 'danwei': m_r_name['danwei']}
m_r = Relationship(reValue1, m_r_name['name'], reValue2,**propertyes)
graph.merge(m_r)
#修改节点属性
def updateNode(m_graph,m_label1,m_attrs1,new_attrs):
reValue1 = MatchNode(m_graph, m_label1, m_attrs1)
if reValue1 is None:
return False
reValue1.update(new_attrs)
graph.push(reValue1)
graph = Graph('http://localhost:7474',username='neo4j',password='fengge666')
#获取指定文件夹下的excel
import os
def get_filename(path,filetype): # 输入路径、文件类型例如'.xlsx'
name = []
for root,dirs,files in os.walk(path):
for i in files:
if os.path.splitext(i)[1]==filetype:
name.append(i)
return name # 输出由有后缀的文件名组成的列表
def create_poem():
file = 'data/'
lists = get_filename(file, '.xlsx')
for it in lists:
newfile = file + it
print(newfile)
# 获取诗词内容
data = pd.read_excel(newfile).fillna("无")
title=list(data.title)
desty=list(data.desty)
author=list(data.author)
content=list(data.content)
trans_content=list(data.trans_content)
background=list(data.background)
tag=list(data.tag)
formal=list(data.formal)
date=list(data.data)
ci_name=list(data.ci_name)
qu_name=list(data.qu_name)
poem_label='poem'
author_label='author'
desty_label='desty'
formal_label='formal'
tag_label='tag'
cipai_label='ci_pai'
qupai_label='qu_pai'
for i in range(len(title)):
print("第"+str(i)+"个")
attr1 = {"name": title[i], "content": content[i], "trans_content": trans_content[i],
"background": background[i],"date":date[i]}
CreateNode(graph, poem_label, attr1)
print("创建诗词：" + title[i] + "成功！！")
if tag[i]!='无':
tag_list=tag[i].split(',')
for it in tag_list:
attr2={"name":it}
# 创建关系
m_r_name1 = "分类"
reValue1 = CreateRelationship(graph, poem_label, attr1, tag_label, attr2, m_r_name1)
print("创建关系：" + title[i] + "-所属类别-" + it + "成功")
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph, tag_label, attr2, poem_label, attr1, m_r_name2)
print("创建关系：" + it + "-包含-" + title[i] + "成功")
if formal[i]!='无':
attr2={"name":formal[i]}
# 创建关系
m_r_name1 = "形式"
reValue1 = CreateRelationship(graph, poem_label, attr1, formal_label, attr2, m_r_name1)
print("创建关系：" + title[i] + "-所属形式-" + formal[i] + "成功")
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph, formal_label, attr2, poem_label, attr1, m_r_name2)
print("创建关系：" + formal[i] + "-包含-" + title[i] + "成功")
if ci_name[i]!='无':
attr2 = {"name": ci_name[i]}
if MatchNode(graph, cipai_label, attr2) == None:
CreateNode(graph, cipai_label, attr2)
print("创建词牌名：" + ci_name[i] + "成功！！")
# 创建关系
m_r_name1 = "词牌名"
reValue1 = CreateRelationship(graph, poem_label, attr1, cipai_label, attr2, m_r_name1)
print("创建关系：" + title[i] + "-词牌名-" + ci_name[i] + "成功")
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph, cipai_label, attr2, poem_label, attr1, m_r_name2)
print("创建关系：" + ci_name[i] + "-包含-" + title[i] + "成功")
if qu_name[i]!='无':
attr2 = {"name": qu_name[i]}
if MatchNode(graph, qupai_label, attr2) == None:
CreateNode(graph, qupai_label, attr2)
print("创建曲牌名：" + qu_name[i] + "成功！！")
# 创建关系
m_r_name1 = "曲牌名"
reValue1 = CreateRelationship(graph, poem_label, attr1, qupai_label, attr2, m_r_name1)
print("创建关系：" + title[i] + "-曲牌名-" + qu_name[i] + "成功")
m_r_name2 = "包含"
reValue2 = CreateRelationship(graph, qupai_label, attr2, poem_label, attr1, m_r_name2)
print("创建关系：" + qu_name[i] + "-包含-" + title[i] + "成功")
if author[i]!='无':
#创建作者写作关系
attr2={"name":author[i]}
if MatchNode(graph,author_label,attr2)!=None:
#创建关系
m_r_name1 = "写作"
reValue1 = CreateRelationship(graph, author_label, attr2, poem_label, attr1, m_r_name1)
print("创建关系："+author[i]+"-写作-"+title[i]+"成功")
m_r_name2 = "作者"
reValue2 = CreateRelationship(graph,poem_label, attr1, author_label, attr2, m_r_name2)
print("创建关系：" + title[i] + "-作者-" + author[i] + "成功")
if desty[i]!='无':
attr2 = {"name": desty[i]}
if MatchNode(graph, desty_label, attr2) == None:
CreateNode(graph, desty_label, attr2)
print("创建朝代：" + desty[i] + "成功！！")
# 创建关系
m_r_name1 = "朝代"
reValue1 = CreateRelationship(graph, poem_label, attr1, desty_label, attr2, m_r_name1)
print("创建关系：" + title[i] + "-所属朝代-" + desty[i] + "成功")
m_r_name2 = "包含诗词"
reValue2 = CreateRelationship(graph, desty_label, attr2, poem_label, attr1, m_r_name2)
print("创建关系：" + desty[i] + "-包含-" + title[i] + "成功")
if __name__ == '__main__':
create_poem()
展示
总结
实体关系构建完成，基本的古诗词关系理清，之后可以进行相关的网页展示。
整个关系结构图，如下所示：
这篇关于中华古诗词知识图谱之实体关系构建&导入neo4j数据库的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！
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