【知识图谱】基于neo4j构建医疗领域知识图谱

    # 构建节点实体关系，共11类
        rels_department = []
        rels_noteat = [] # 疾病－忌吃食物关系
        rels_doeat = [] # 疾病－宜吃食物关系
        rels_recommandeat = [] # 疾病－推荐吃食物关系
        rels_commonddrug = [] # 疾病－通用药品关系
        rels_recommanddrug = [] # 疾病－热门药品关系
        rels_check = [] # 疾病－检查关系
        rels_drug_producer = [] # 厂商－药物关系
        rels_symptom = [] #疾病症状关系
        rels_acompany = [] # 疾病并发关系
        rels_category = [] #　疾病与科室之间的关系
    
    
      
      
      
      
      
      
      
      
      
      
      
      
    
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    from py2neo import Graph
    class AnswerSearcher:
    def __init__(self):#调用数据库进行查询
        # self.g = Graph("bolt://localhost:7687", username="neo4j", password="12345678")#老版本neo4j
        self.g = Graph("bolt://localhost:7687", auth=("neo4j", "12345678"))#输入自己修改的用户名，密码
    
    
    
      
      
      
      
      
      
    
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    #对绝对路径进行拼接 获取json文件路径
     self.data_path = os.path.join(cur_dir, 'data/medical.json') 
    class MedicalGraph:
    def __init__(self):
        cur_dir = '/'.join(os.path.abspath(__file__).split('/')[:-1])
        self.data_path = os.path.join(cur_dir, 'data/medical.json')# 对绝对路径进行拼接 获取json文件路径 这里使用的Jason为部分数据量
        # self.g = Graph("http://localhost:7474", username="neo4j", password="12345678")#老版本neo4j
        self.g = Graph("bolt://localhost:7687", auth=("neo4j", "12345678"))
    
    
      
      
      
      
      
      
      
      
    
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     def create_node(self, label, nodes):
        count = 0
        for node_name in nodes:
            node = Node(label, name=node_name)
            self.g.create(node)
            count += 1
            print(count, len(nodes))
        return
    
    
      
      
      
      
      
      
      
      
    
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      def create_graphrels(self):
        Drugs, Foods, Checks, Departments, Producers, Symptoms, Diseases, disease_infos, rels_check, rels_recommandeat, rels_noteat, rels_doeat, rels_department, rels_commonddrug, rels_drug_producer, rels_recommanddrug,rels_symptom, rels_acompany, rels_category = self.read_nodes()
        self.create_relationship('Disease', 'Food', rels_recommandeat, 'recommand_eat', '推荐食谱')#调用下面的关系边创建函数
        self.create_relationship('Disease', 'Food', rels_noteat, 'no_eat', '忌吃')
        self.create_relationship('Disease', 'Food', rels_doeat, 'do_eat', '宜吃')
        self.create_relationship('Department', 'Department', rels_department, 'belongs_to', '属于')
        self.create_relationship('Disease', 'Drug', rels_commonddrug, 'common_drug', '常用药品')
        self.create_relationship('Producer', 'Drug', rels_drug_producer, 'drugs_of', '生产药品')
        self.create_relationship('Disease', 'Drug', rels_recommanddrug, 'recommand_drug', '好评药品')
        self.create_relationship('Disease', 'Check', rels_check, 'need_check', '诊断检查')
        self.create_relationship('Disease', 'Symptom', rels_symptom, 'has_symptom', '症状')
        self.create_relationship('Disease', 'Disease', rels_acompany, 'acompany_with', '并发症')
        self.create_relationship('Disease', 'Department', rels_category, 'belongs_to', '所属科室')
    
    
    
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    
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    from py2neo import Graph, Node, Relationship, NodeMatcher, Subgraph
    
    g = Graph('http://localhost:7687', auth=("neo4j", "123456"))
    
    matcher = NodeMatcher(g)
    
    fugui = matcher.match('Person', name='节点名称1').first()
    youqian = matcher.match('Person', name='节点名称2').first()
    
    relation = Relationship(节点名称1, '所要建立的关系', 节点名称2)
    
    g.create(relation)
    
    
      
      
      
      
      
      
      
      
      
      
      
      
    
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