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Natural language querying of a data lake using contextualized knowledge bases

机译:使用上下文化知识库对数据湖进行自然语言查询

摘要

A method of querying a data lake using natural language includes: receiving a natural language query directed to an electronic data lake; parsing the natural language query to determine a plurality of entities within the natural language query; identifying the plurality of entities using at least one contextual knowledge base, wherein the plurality of entities are compared against at least one entry in the at least one contextual knowledge base; mapping a dependency of the plurality of identified entities based on the parsed natural language query; constructing a structured data query based on the plurality of identified entities and the mapped dependency; and automatically generating a visual output of a result of the structured data query based on at least one characteristic from the set of: a data type, a data format, and a data size of the result of the structured data query.
机译:一种使用自然语言查询数据湖的方法,包括:接收针对电子数据湖的自然语言查询;解析自然语言查询以确定自然语言查询内的多个实体;使用至少一个上下文知识库来识别所述多​​个实体,其中将所述多个实体与所述至少一个上下文知识库中的至少一个条目进行比较;基于解析的自然语言查询,映射多个所标识的实体的依赖性;基于多个标识的实体和映射的依赖关系构造结构化数据查询;并基于以下特征中的至少一个特征自动生成结构化数据查询结果的可视输出:结构化数据查询结果的数据类型,数据格式和数据大小。

著录项

  • 公开/公告号US10706045B1

    专利类型

  • 公开/公告日2020-07-07

    原文格式PDF

  • 申请/专利权人 INNOVACCER INC.;

    申请/专利号US201916387016

  • 发明设计人 KANAV HASIJA;KARTIK R. SAYANI;

    申请日2019-04-17

  • 分类号G06F16;G06F16/242;G06F16/245;G06F16/248;

  • 国家 US

  • 入库时间 2022-08-21 11:29:25

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