# 构建图谱 > 本协议支持所有符合RDF规范的图数据库。将上一章构建出来的RDF数据导入图数据库，即可得到一个简单的社交图。

## 使用Neptune > [Amazon Neptune](https://docs.aws.amazon.com/zh_cn/neptune/latest/userguide/intro.html) 是一项快速、可扩展的图形数据库服务。Neptune 可高效存储和导航高度互连的数据。它的查询处理引擎针对领先的图形查询语言 Apache TinkerPop™ Gremlin 和 W3C 的 RDF SPARQL 进行了优化。Neptune 通过这些图形框架开放和标准的 API 实现了高性能。借助[Amazon Neptune](https://docs.aws.amazon.com/zh_cn/neptune/latest/userguide/intro.html)我们可以把用户在区块链上的行为数据，构建出一个社交图谱。具体步骤： 1. 在[aws控制台](https://ap-northeast-1.console.aws.amazon.com/neptune/home)启动一个Neptune实例 2. 将上一章构建的sparql拼接成Neptune插入语句： ```sparql update=PREFIX : PREFIX p: PREFIX rdf: PREFIX xsd: PREFIX rdfs: INSERT DATA {GRAPH { :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe a :Soul; p:name "Alice" . :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e a :Soul; p:name "Bob" . :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe p:following :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e . }} ``` 3. 调用Neptune服务接口保存RDF数据 ```shell curl -X POST --data-binary 'update=PREFIX : PREFIX p: PREFIX rdf: PREFIX xsd: PREFIX rdfs: INSERT DATA {GRAPH { :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe a :Soul; p:name "Alice" . :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e a :Soul; p:name "Bob" . :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe p:following :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e . }}' https://your-neptune-endpoint:port/sparql ``` 至此，我们已经将`Alice follow Bob`的数据索引至图数据库了，通过调用Neptune服务接口查询数据： ```shell curl -X POST --data-binary 'query=select * where { ?s a :Soul; p:name "Alice". ?s p:following ?f .} limit 10' https://your-neptune-endpoint:port/sparql ``` ## 使用Jena 为了方便演示，我们使用[docker](https://www.docker.com)来启动一个Jena服务： ```shell docker run -p 3030:3030 -e ADMIN_PASSWORD=pw123 stain/jena-fuseki ``` 启动成功后访问 1. 首先创建一个数据集

2. 然后将上一步的数据导入图数据库 ```sparql PREFIX : PREFIX p: PREFIX rdf: PREFIX xsd: PREFIX rdfs: :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe a :Soul; p:name "Alice" . :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e a :Soul; p:name "Bob" . :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe p:following :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e . ```

3. 最后切换至Query标签页，查询一下Alice关注了哪些人： ```sparql PREFIX : PREFIX p: SELECT * WHERE { ?me a :Soul; p:name "Alice"; p:following ?following . ?following p:name ?name . } LIMIT 10 ```

即可查询到：Alice的地址`0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe` follow了Bob的地址`0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e`。 ## 使用Neo4j 为了方便演示，我们使用[docker](https://www.docker.com)来启动一个Neo4j服务： ```shell docker run \ -p 7474:7474 -p 7687:7687 \ --name neo4j-neosemantics \ neo4j:5.5.0 ``` 1. 安装插件以支持RDF ```shell docker exec -it neo4j-neosemantics bash cd plugins/ wget https://github.com/neo4j-labs/neosemantics/releases/download/5.5.0.0/neosemantics-5.5.0.0.jar ``` 2. 配置插件编辑`conf/neo4j.conf`，追加配置`dbms.unmanaged_extension_classes=n10s.endpoint=/rdf`。配置完成后重启Neo4j ```shell docker restart neo4j-neosemantics ``` Open Neo4j Browser: 初始账号：neo4j/neo4j 3. 配置Graph 在Neo4j browser输入框分别执行以下命令： {% tabs %} {% tab title="cypher-shell" %} ```cypher CALL n10s.graphconfig.init(); CREATE CONSTRAINT n10s_unique_uri FOR (r:Resource) REQUIRE r.uri IS UNIQUE; CALL n10s.graphconfig.init( { handleMultival: "ARRAY" }) CALL n10s.nsprefixes.add("e", "http://relationlabs.ai/entity/"); CALL n10s.nsprefixes.add("p", "http://relationlabs.ai/property/"); ``` {% endtab %} {% endtabs %} 4. 导入数据在Neo4j browser中执行以导入数据： {% tabs %} {% tab title="cypher-shell" %} ```cypher CALL n10s.rdf.import.inline("PREFIX : PREFIX p: prefix rdf: prefix xsd: prefix rdfs: :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe a :Soul; p:name \"Alice\" . :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e a :Soul; p:name \"Bob\" . :Soul_0x0109c8ee3151bde7b6b5d9f37e9d2c4bc16930fe p:following :Soul_0x6247123ec0fe0d25feb811e3c4d4a760c1f2e63e .","Turtle"); ``` {% endtab %} {% endtabs %} 5. 查询在Neo4j browser中查询： {% tabs %} {% tab title="cypher-shell" %} ```cypher MATCH (ss:Resource {p__name: ["Alice"]})-[:p__following]->(oo) RETURN ss, oo ``` {% endtab %} {% endtabs %}

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