python+neo4j 学习资源知识图谱修改版_基于python和neo4j搭建知识图谱问答系统数据集

上一次的知识图谱只是做了数学概念方面的，这次做的包括了整个认知领域。由于覆盖的节点数比较多，就对代码和数据形式进行了修改，以进行分类。

完整代码如下:

from py2neo import Graph, Node, Relationship, NodeMatcher
import pandas as pd
from pdb import set_trace


def load_data():
    # 加载数据
    data= pd.read_excel('./entity.xlsx')

    cognitive = data['cognitive'].tolist()
    focus = data['focus'].tolist()
    project = data['project'].tolist()
    activity = data['activity'].tolist()
    age = data['age'].tolist()

    cognitive_list = [str(i) for i in cognitive]
    focus_list = [str(i) for i in focus]
    project_list = [str(i) for i in project]
    activity_list = [str(i) for i in activity]
    age_list = [str(i)for i in age]

    link_dict = dict()
    link_dict['cognitive'] = cognitive_list
    link_dict['focus'] = focus_list
    link_dict['project'] = project_list
    link_dict['activity'] = activity_list
    link_dict['age'] = age_list

    df_data = pd.DataFrame(link_dict)
    return df_data


class DataToNeo4j:
    
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