摘要
以下引文是新闻编辑从新闻编辑提供的背景资料中获得的发明人：“组织使用知识图来表示数据，如关键领域术语和将它们与特定于上下文的常见问题(FAQs)、同义词和机器学习关联起来为我们提供搜索引擎、虚拟助理或问答服务等服务课程。知识图是使用图结构数据模型来获取数据的知识库。知识图用于存储实体的相互关联描述，例如对象、事件、或者抽象概念。知识图由路径列表组成，其中每条路径包含一个或者更多的实体和意图。在一个示例中，当使用R向虚拟助理提供输入时，从知识图的路径列表中对应于虚拟图的一个或多个匹配路径助理通过确定百分比匹配来确定（例如，1/5、2/5、。 . . 根据数字与提供的输入匹配的路径中的节点/项。
Abstract
The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Organizations use knowledge graphs to represent data such as key domain terms andassociate them with context-specific frequent ly asked questions (FAQs), synonyms, and machine learningenabledclasses for us e in services like search engines, virtual assistants, or question-answering ser vices.A knowledge graph is a knowledge base that uses a graph-structured data m odel to ingest data. Theknowledge graph is used to store interlinked descriptio ns of entities such as, for example, objects, events,or abstract concepts. The knowledge graph is composed of a list of paths, where each path comprises oneor more entities and an intent. In one example, when an input is provided by a use r to a virtual assistant,one or more matching paths from the list of paths of t he knowledge graph corresponding to the virtualassistant are identified by cons idering a percentage match (e.g., 1/5, 2/5, . . . ) based on the numberof nodes /terms in a path that match with the input provided.
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