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[OpenSPG](https://spg.openkg.cn/en-US) is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework, which is a summary of Ant Group's years of experience in constructing and applying diverse domain knowledge graphs in the financial scenarios.
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[OpenSPG](https://openspg.github.io/v2) is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework, which is a summary of Ant Group's years of experience in constructing and applying diverse domain knowledge graphs in the financial scenarios.
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SPG (Semantic-enhanced Programmable Graph): semantic-enhanced programmable framework is a set of semantic representation framework based on property graph precipitated by Ant Knowledge Graph platform after years of supporting business in the financial field. It creatively integrates LPG structural and RDF semantic, which overcomes the problem that RDF/OWL semantic complexity cannot be industrially landed, and fully inherits the advantages of LPG structural simplicity and compatibility with big data system. The framework defines and represents knowledge semantics from three aspects. First, SPG explicitly defines the formal representation and programmable framework of "knowledge", so that it can be defined, programmed, understood and processed by machines. Secondly, SPG achieves compatibility and progressive advancement between knowledge levels, supporting the construction of knowledge graphs and the continuous iterative evolution of incomplete data states in industrial-level scenarios. Finally, SPG serves as an effective bridge between big data and AI technology systems, facilitating the efficient transformation of massive data into knowledge-based insights. By doing so, it enhances the value and application potential of the data. With the SPG framework, we can construct and manage graph data more efficiently, and at the same time, we can better support business requirements and application scenarios. Since SPG framework has good scalability and flexibility, new business scenarios can quickly build their domain models and solutions by extending the domain knowledge model and developing new
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operators.
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For a detailed introduction to SPG, please refer to **the [《SPG White Paper》](https://spg.openkg.cn/en-US "SPG White Paper") jointly released by Ant Group and OpenKG**.
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For a detailed introduction to SPG, please refer to **the [《SPG White Paper》](https://openspg.github.io/v2/blog/design_philosophy/white_paper/openspg) jointly released by Ant Group and OpenKG**.
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# OpenSPG
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## Get Started
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* [Install OpenSPG](https://openspg.yuque.com/ndx6g9/wc9oyq/yexegklu44bqqicm)
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* [Install OpenSPG](https://openspg.yuque.com/ndx6g9/docs_en/rs7gr8g4s538b1n7)
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* Quick start with examples:
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* [Enterprise Supply Chain Knowledge Graph](https://openspg.yuque.com/ndx6g9/wc9oyq/wni2suux7g2tt6s2)
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* [Risk Mining Knowledge Graph](https://openspg.yuque.com/ndx6g9/wc9oyq/da4h0fbphifg3dpe)
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* [Medical Knowledge Graph](https://openspg.yuque.com/ndx6g9/wc9oyq/iiktuogkwigoegcv)
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* [Enterprise Supply Chain Knowledge Graph](https://openspg.yuque.com/ndx6g9/docs_en/tmebvz9z74rc4szu)
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* [Risk Mining Knowledge Graph](https://openspg.yuque.com/ndx6g9/docs_en/merirblg8d1cbgkg)
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* [Medical Knowledge Graph](https://openspg.yuque.com/ndx6g9/docs_en/bkvfaunnpl65rsrk)
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## Advanced tutorials
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* [OpenSPG User Guide](https://openspg.yuque.com/ndx6g9/wc9oyq)
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* [OpenSPG User Guide](https://openspg.yuque.com/ndx6g9/docs_en)
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# How to contribute
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* [Contribution Guidelines](https://spg.openkg.cn/en-US/quick-start/contribution)
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* [Contribution Guidelines](https://openspg.yuque.com/ndx6g9/docs_en/ae57imdlmnwa5rls)
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# Cite
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[](./LICENSE)
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(OpenSPG)[https://spg.openkg.cn] 是蚂蚁集团结合多年金融领域多元场景知识图谱构建与应用业务经验的总结,并与OpenKG联合推出的基于SPG(Semantic-enhanced Programmable Graph)框架研发的知识图谱引擎。
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[OpenSPG](https://openspg.github.io/v2) 是蚂蚁集团结合多年金融领域多元场景知识图谱构建与应用业务经验的总结,并与OpenKG联合推出的基于SPG(Semantic-enhanced Programmable Graph)框架研发的知识图谱引擎。
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SPG(Semantic-enhanced Programmable Graph):语义增强可编程框架,是蚂蚁知识图谱平台经过多年金融领域业务的支撑,沉淀的一套基于属性图的语义表示框架。它创造性地融合了LPG结构性与RDF语义性,既克服了RDF/OWL语义复杂无法工业落地的问题,又充分继承了LPG结构简单与大数据体系兼容的优势。该框架从三个方面来定义和表示知识语义。首先,SPG明确定义了"知识"的形式化表示和可编程框架,使其可定义、可编程,机器可理解和处理。其次,SPG实现了知识层级间的兼容递进,支持工业级场景下非完备数据状态的图谱构建和持续迭代演化。最后,SPG有效衔接大数据与AI技术体系,支持对海量数据进行高效的知识化转换,帮助提高数据价值和应用价值。通过SPG框架,我们可以更加高效地构建和管理图谱数据,同时可以更好地支持业务需求和应用场景。由于SPG框架具有良好的可扩展性和灵活性,新的业务场景可以通过扩展领域知识模型及开发新算子,快速构建其领域模型和解决方案。
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SPG的详细介绍请参考**蚂蚁集团和OpenKG联合发布**的[《SPG白皮书》](https://spg.openkg.cn/ "SPG白皮书")。
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SPG的详细介绍请参考**蚂蚁集团和OpenKG联合发布**的[《SPG白皮书》](https://openspg.github.io/v2/blog/design_philosophy/white_paper/openspg)。
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# OpenSPG介绍
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## Get Started
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* [安装说明](https://openspg.yuque.com/ndx6g9/0.5/nbb1bn3wegwue6yo)
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* [安装说明](https://openspg.yuque.com/ndx6g9/docs/zxh5a5dr03945l1x)
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* 通过案例快速上手:
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* [企业供应链图谱](https://openspg.yuque.com/ndx6g9/0.5/cefh3sufvay63tb0)
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* [黑产挖掘图谱](https://openspg.yuque.com/ndx6g9/0.5/haf99dg5w8wrkvop)
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* [医疗知识图谱](https://openspg.yuque.com/ndx6g9/0.5/otced6rb3z4vtq2y)
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* [企业供应链图谱](https://openspg.yuque.com/ndx6g9/docs/dq9ptys5u5dvh0ia)
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* [黑产挖掘图谱](https://openspg.yuque.com/ndx6g9/docs/xq9fwzuqr272smno)
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* [医疗知识图谱](https://openspg.yuque.com/ndx6g9/docs/bo7b9kwhkl6zynsh)
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## 进阶教程
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* [OpenSPG用户手册](https://openspg.yuque.com/ndx6g9/0.5)
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* [OpenSPG用户手册](https://openspg.yuque.com/ndx6g9/docs)
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# 如何贡献代码
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* [Contribution Guidelines](https://spg.openkg.cn/quick-start/contribution)
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* [Contribution Guidelines](https://openspg.yuque.com/ndx6g9/docs/yv8rahc3dewb1gy8#Pqcd)
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# Cite
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