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

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

朝代实体

属性

包含：朝代名称（唐宋元明清）

关系

类别实体

属性

包含：类别名称（写景，抒怀，。。。）

关系

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

词牌名实体

属性

包含：词牌名名称

关系

曲牌名实体

属性

包含：曲牌名名称

关系

诗人合称实体

属性

诗人合称名称

关系

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：

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