中文知识图谱搭建并绘制关系图谱的代码
时间: 2024-02-17 19:05:00 浏览: 213
知识图谱构建代码,python
中文知识图谱搭建和绘制关系图谱的代码需要用到自然语言处理和图谱可视化的技术,下面是一个简单的示例代码供参考:
1. 中文知识图谱搭建
首先需要对中文文本进行分词、词性标注、实体识别等自然语言处理操作,然后根据实体之间的关系构建知识图谱。以下是一个简单的示例代码:
```python
import jieba
import jieba.posseg as pseg
import jieba.analyse
from py2neo import Graph, Node, Relationship
# 连接Neo4j数据库
graph = Graph('http://localhost:7474', username='neo4j', password='password')
# 分词
def cut_words(text):
words = pseg.cut(text)
return words
# 实体识别
def extract_entities(text):
entities = jieba.analyse.extract_tags(text, withWeight=True, withFlag=True)
return entities
# 构建知识图谱
def build_knowledge_graph(text):
words = cut_words(text)
entities = extract_entities(text)
for word, flag in words:
if flag.startswith('n'): # 名词
node = Node('Entity', name=word)
graph.create(node)
for entity, weight, flag in entities:
if word == entity:
continue
if word in entity or entity in word:
rel = Relationship(node, 'related_to', Node('Entity', name=entity))
graph.create(rel)
```
2. 绘制关系图谱
绘制关系图谱需要用到图谱可视化的库,比如D3.js、Echarts等。以下是一个简单的示例代码:
```html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>关系图谱</title>
<script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script>
</head>
<body>
<div id="chart" style="width: 100%; height: 500px;"></div>
<script>
var myChart = echarts.init(document.getElementById('chart'));
myChart.showLoading();
$.get('/data.json', function (data) {
myChart.hideLoading();
option = {
title: {
text: '关系图谱'
},
tooltip: {},
animationDurationUpdate: 1500,
animationEasingUpdate: 'quinticInOut',
series: [
{
type: 'graph',
layout: 'force',
roam: true,
label: {
normal: {
show: true
}
},
force: {
repulsion: 1000
},
data: data.nodes,
links: data.links
}
]
};
myChart.setOption(option);
});
</script>
</body>
</html>
```
以上代码示例中,通过调用Echarts库的图谱可视化组件,实现了从Neo4j数据库中读取知识图谱数据,并以关系图谱的形式进行展示。
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