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INTEGRATED VALUE CHAIN RISK-BASED PROFILING AND OPTIMIZATION

机译:基于综合价值链风险的分析和优化

摘要

A system and method for gathering and analyzing the value chain relationships between legal entities, people, systems, and real and intangible assets using a temporospatial knowledge graph of the integrated value chain. The system provides the ability to layer private data from paid vendors with end-user owned and public records data to enable more comprehensive, contextualized and complete representations of the underlying value chain. Data analysis techniques, such as deep learning and machine learning, are performed on the knowledge graph and its underlying data set, in conjunction with simulation and modeling, to analyze the value chain, including generation of a risk profile for an entity's value chain and potential optimization options to remediate the identified risks.
机译:利用集成值链的时间空间知识图来收集和分析法律实体,人,系统和真实和无形资产之间的价值链关系的系统和方法。该系统提供了从带薪供应商层私有数据的能力,具有最终用户拥有和公共记录数据,以实现底层值链的更全面,上下文化和完整的表示。数据分析技术,例如深度学习和机器学习,在知识图和其底层数据集合与模拟和建模结合,分析价值链,包括生成实体价值链和潜力的风险概况优化选项来修复所识别的风险。

著录项

  • 公开/公告号US2021173711A1

    专利类型

  • 公开/公告日2021-06-10

    原文格式PDF

  • 申请/专利权人 QOMPLX INC.;

    申请/专利号US202017088387

  • 发明设计人 JASON CRABTREE;ANDREW SELLERS;

    申请日2020-11-03

  • 分类号G06F9/50;G06N5/02;G06Q10/06;G06Q30/02;G06Q40/04;

  • 国家 US

  • 入库时间 2022-08-24 19:07:38

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