Neo4j入门案例:三星堆

创建一个关于三星堆的知识图谱可以是一个非常有趣的项目,它可以帮助理解如何使用Neo4j来存储和查询复杂的关系数据。三星堆文化以其独特的青铜器、金器和其他文物而闻名,这为我们提供了一个丰富的历史背景来构建知识图谱。

数据模型定义

实体类型(节点)
  1. 遗址 (Site)
  2. 文物 (Artifact)
  3. 考古学家 (Archaeologist)
  4. 文化 (Culture)
  5. 时期 (Period)
  6. 材料 (Material)
关系类型
  1. 发现于 (DiscoveredAt)
  2. 属于 (BelongsTo)
  3. 研究者 (ResearchedBy)
  4. 存在于 (ExistsIn)
  5. 制成于 (MadeOf)

数据准备

假设我们有如下数据:

  • 遗址: "三星堆遗址"
  • 文物: "青铜大立人","黄金面具","玉琮","象牙","铜神树"
  • 考古学家: "李某某","张某某"
  • 文化: "三星堆文化"
  • 时期: "新石器时代晚期至商周时期"
  • 材料: "青铜","黄金","玉石","象牙"

创建知识图谱

创建节点
sql 复制代码
CREATE (s:Site {name: "三星堆遗址"})
CREATE (c:Culture {name: "三星堆文化"})
CREATE (p:Period {name: "新石器时代晚期至商周时期"})
CREATE (a1:Artifact {name: "青铜大立人", description: "三星堆出土的重要文物之一"})
CREATE (a2:Artifact {name: "黄金面具", description: "三星堆出土的精美黄金制品"})
CREATE (a3:Artifact {name: "玉琮", description: "三星堆出土的玉质文物"})
CREATE (a4:Artifact {name: "象牙", description: "三星堆出土的象牙制品"})
CREATE (a5:Artifact {name: "铜神树", description: "三星堆出土的青铜树形器"})
CREATE (m1:Material {name: "青铜"})
CREATE (m2:Material {name: "黄金"})
CREATE (m3:Material {name: "玉石"})
CREATE (m4:Material {name: "象牙"})
CREATE (r1:Archaeologist {name: "李某某", institution: "四川大学考古学院"})
CREATE (r2:Archaeologist {name: "张某某", institution: "北京大学考古文博学院"})
创建关系
sql 复制代码
MATCH (a1:Artifact), (s:Site)
WHERE a1.name = "青铜大立人" AND s.name = "三星堆遗址"
CREATE (a1)-[:DiscoveredAt]->(s)

MATCH (a1:Artifact), (c:Culture)
WHERE a1.name = "青铜大立人" AND c.name = "三星堆文化"
CREATE (a1)-[:BelongsTo]->(c)

MATCH (a1:Artifact), (p:Period)
WHERE a1.name = "青铜大立人" AND p.name = "新石器时代晚期至商周时期"
CREATE (a1)-[:ExistsIn]->(p)

MATCH (a1:Artifact), (m1:Material)
WHERE a1.name = "青铜大立人" AND m1.name = "青铜"
CREATE (a1)-[:MadeOf]->(m1)

MATCH (a2:Artifact), (s:Site)
WHERE a2.name = "黄金面具" AND s.name = "三星堆遗址"
CREATE (a2)-[:DiscoveredAt]->(s)

MATCH (a2:Artifact), (c:Culture)
WHERE a2.name = "黄金面具" AND c.name = "三星堆文化"
CREATE (a2)-[:BelongsTo]->(c)

MATCH (a2:Artifact), (p:Period)
WHERE a2.name = "黄金面具" AND p.name = "新石器时代晚期至商周时期"
CREATE (a2)-[:ExistsIn]->(p)

MATCH (a2:Artifact), (m2:Material)
WHERE a2.name = "黄金面具" AND m2.name = "黄金"
CREATE (a2)-[:MadeOf]->(m2)

MATCH (a3:Artifact), (s:Site)
WHERE a3.name = "玉琮" AND s.name = "三星堆遗址"
CREATE (a3)-[:DiscoveredAt]->(s)

MATCH (a3:Artifact), (c:Culture)
WHERE a3.name = "玉琮" AND c.name = "三星堆文化"
CREATE (a3)-[:BelongsTo]->(c)

MATCH (a3:Artifact), (p:Period)
WHERE a3.name = "玉琮" AND p.name = "新石器时代晚期至商周时期"
CREATE (a3)-[:ExistsIn]->(p)

MATCH (a3:Artifact), (m3:Material)
WHERE a3.name = "玉琮" AND m3.name = "玉石"
CREATE (a3)-[:MadeOf]->(m3)

MATCH (a4:Artifact), (s:Site)
WHERE a4.name = "象牙" AND s.name = "三星堆遗址"
CREATE (a4)-[:DiscoveredAt]->(s)

MATCH (a4:Artifact), (c:Culture)
WHERE a4.name = "象牙" AND c.name = "三星堆文化"
CREATE (a4)-[:BelongsTo]->(c)

MATCH (a4:Artifact), (p:Period)
WHERE a4.name = "象牙" AND p.name = "新石器时代晚期至商周时期"
CREATE (a4)-[:ExistsIn]->(p)

MATCH (a4:Artifact), (m4:Material)
WHERE a4.name = "象牙" AND m4.name = "象牙"
CREATE (a4)-[:MadeOf]->(m4)

MATCH (a5:Artifact), (s:Site)
WHERE a5.name = "铜神树" AND s.name = "三星堆遗址"
CREATE (a5)-[:DiscoveredAt]->(s)

MATCH (a5:Artifact), (c:Culture)
WHERE a5.name = "铜神树" AND c.name = "三星堆文化"
CREATE (a5)-[:BelongsTo]->(c)

MATCH (a5:Artifact), (p:Period)
WHERE a5.name = "铜神树" AND p.name = "新石器时代晚期至商周时期"
CREATE (a5)-[:ExistsIn]->(p)

MATCH (a5:Artifact), (m1:Material)
WHERE a5.name = "铜神树" AND m1.name = "青铜"
CREATE (a5)-[:MadeOf]->(m1)

MATCH (r1:Archaeologist), (a1:Artifact)
WHERE r1.name = "李某某" AND a1.name = "青铜大立人"
CREATE (a1)-[:ResearchedBy]->(r1)

MATCH (r1:Archaeologist), (a2:Artifact)
WHERE r1.name = "李某某" AND a2.name = "黄金面具"
CREATE (a2)-[:ResearchedBy]->(r1)

MATCH (r2:Archaeologist), (a3:Artifact)
WHERE r2.name = "张某某" AND a3.name = "玉琮"
CREATE (a3)-[:ResearchedBy]->(r2)

MATCH (r2:Archaeologist), (a4:Artifact)
WHERE r2.name = "张某某" AND a4.name = "象牙"
CREATE (a4)-[:ResearchedBy]->(r2)

MATCH (r2:Archaeologist), (a5:Artifact)
WHERE r2.name = "张某某" AND a5.name = "铜神树"
CREATE (a5)-[:ResearchedBy]->(r2)

查询及推理

查询示例
  • 查找所有在三星堆遗址发现的文物

    1MATCH (a:Artifact)-[r:DiscoveredAt]->(s:Site) WHERE s.name = "三星堆遗址"
    2RETURN a.name

  • 找出某个考古学家研究的所有文物

复制代码
  1MATCH (a:Artifact)-[r:ResearchedBy]->(r1:Archaeologist) WHERE r1.name = "李某某"
  2RETURN a.name
  • 分析特定时期内出现的文物类型及其材料分布情况

    1MATCH (a:Artifact)-[r1:ExistsIn]->(p:Period) WHERE p.name = "新石器时代晚期至商周时期"
    2OPTIONAL MATCH (a)-[r2:MadeOf]->(m:Material)
    3RETURN a.name, collect(m.name) AS Materials

这些查询可以帮助理解如何从知识图谱中提取有用的信息,并进行进一步的研究。

相关推荐
心念枕惊6 天前
Conda 环境一键搬家:用 conda-pack 打包带走,连网都不用
conda·neo4j
码农学院15 天前
Neo4j知识图谱赋能跨境电商GEO:LLM实体识别与AI搜索引擎结构化数据输出实战
人工智能·知识图谱·neo4j
TE-茶叶蛋15 天前
RAG智能电商客服什么时候上Neo4j?
neo4j
羊羊小栈15 天前
基于GraphRAG的税务财务智能问答系统(Neo4j_大语言模型)
人工智能·算法·语言模型·自然语言处理·毕业设计·neo4j·大作业
hhzz16 天前
(九)在MCU上跑AI推理:ESP-DL vs TFLite Micro,选哪个?怎么优化?
人工智能·单片机·neo4j·esp·ai推理
༄沐࿆风࿆࿆17 天前
neo4j Desktop下载学习笔记
笔记·学习·neo4j
我是唐青枫17 天前
Java Neo4j 实战指南:从图模型、Cypher 到 Spring Boot 关系查询
java·spring boot·neo4j
AI-好学者21 天前
RDF对比与Neo4j性能优化
人工智能·知识图谱·neo4j·knowledge graph
冷小鱼1 个月前
Neo4j 深度解析:从原生图存储到 GraphRAG 的知识图谱革命
人工智能·知识图谱·neo4j
24计网1王仔寿1 个月前
Linux运维与云计算全栈系统化学习指南(Shell+虚拟化+OpenStack+Docker+公私云实战)
linux·课程设计·数据库开发·微信公众平台·neo4j·命令模式·sequoiadb