DATA MODEL FOR MACHINE DATA FOR SEMANTIC SEARCH
    1.
    发明申请
    DATA MODEL FOR MACHINE DATA FOR SEMANTIC SEARCH 有权
    用于语义搜索的机器数据的数据模型

    公开(公告)号:US20140074817A1

    公开(公告)日:2014-03-13

    申请号:US13662369

    申请日:2012-10-26

    Applicant: SPLUNK INC.

    Abstract: Embodiments are directed towards generating data models that may give semantic meaning for unstructured data or structured data that may include data generated and/or received by search engines, including a time series engine. Data models also may be generated to provide semantic meaning to structured data. A data model may be composed of a hierarchical data model objects analogous to an object-oriented programming class hierarchy. Users may employ a data modeling application to produce reports using search objects that may be part of, or associated with the data model. The data modeling application may employ the search object and the data model to generate a query string for searching a data repository to produce a result set. A data modeling application may map the result set data to data model objects that may be used to generate reports.

    Abstract translation: 实施例涉及生成可能给非结构化数据或结构化数据提供语义意义的数据模型,这些结构化数据或结构化数据可能包括由搜索引擎(包括时间序列引擎)生成和/或接收的数据。 也可以生成数据模型以为结构化数据提供语义。 数据模型可以由类似于面向对象的编程类层次结构的分层数据模型对象组成。 用户可以使用数据建模应用程序来生成使用可能是数据模型的一部分或与数据模型相关联的搜索对象的报告。 数据建模应用程序可以使用搜索对象和数据模型来生成用于搜索数据存储库以产生结果集的查询字符串。 数据建模应用程序可将结果集数据映射到可用于生成报告的数据模型对象。

Patent Agency Ranking