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Knowledge Graphs and Enterprise AI: The Promise of an Enabling Technology

机译:知识图谱和企业AI:实现技术的承诺

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Adopting a mature AI strategy is fundamental for modern knowledge companies to govern the proliferation of smart AI-driven applications and to coordinate them within coherent knowledge workflows. We propose knowledge graphs as the reference technology for the enterprise AI context, i.e., the complex of entities, properties and relationships that shape a business domain and constitute a common backbone for all AI-driven applications. We contribute and discuss principles to design software architectures for AI-driven applications based on knowledge graphs. We focus on the Vadalog system, a successful knowledge graph middleware from the University of Oxford and show knowledge graphs in action in a number of use cases from the financial domain.
机译:对于现代知识型公司而言,采用成熟的AI策略是控制智能AI驱动的应用程序激增并在相干的知识工作流中进行协调的基础。我们提出知识图作为企业AI上下文的参考技术,即构成业务领域并构成所有AI驱动的应用程序的通用主干的实体,属性和关系的复合体。我们贡献和讨论基于知识图为AI驱动的应用程序设计软件体系结构的原理。我们专注于Vadalog系统,这是牛津大学成功的知识图中间件,并展示了来自金融领域的许多用例在运行中的知识图。

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