mrbulb / Onepiece Kg
Licence: mit
a knowledge graph project for ONEPIECE /《海贼王》知识图谱
Stars: ✭ 123
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ONEPICE-KG
ONEPICE-KG 是一个面向《海贼王》领域数据的知识图谱项目。
本项目内容包括数据采集、知识存储、知识抽取、知识计算、知识应用五大部分
数据采集
本次项目主要采集构建了两个知识图谱和一个关系抽取数据集
- 人物知识图谱：主要包含各个人物的信息
- 关系抽取数据集：标注出自然语言中存在的实体以及他们之间的关系
- 实体关系知识图谱：构建《海贼王》中各个实体之间关系的知识图谱
知识存储
尝试使用了三元组数据库Apace Jena和原生图数据库Neo4j，并分别使用RDF结构化查询语言SPARQL和属性图查询语言Cypher，在知识图谱上进行查询。
知识抽取
基于之间构建的关系抽取数据集，利用deepke中提供的工具进行关系抽取实践，测试了包括PCNN、GCN、BERT等模型在我们构建数据集上的效果
知识计算
- 图计算：在Neo4j上对实体关系知识图谱进行了图挖掘，包括最短路径查询、权威结点发现、社区发现等
- 知识推理：在Apache Jena上对关系知识图谱进行了知识推理，补全了一部分的数据
知识应用
- 智能问答：基于REfO实现一个对于《海贼王》中人物的知识库问答系统(KBQA)。
- 可视化图片：通过D3对实体关系图片进行可视化，并整合了人物知识图谱中的信息，进行展示。
各个部分的具体内容和使用方法，可以参见 docs 文件夹下的项目文档
实体关系可视化页面可以参见项目的GitHub Pages
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