公开(公告)号：US20160224569A1

公开(公告)日：2016-08-04

申请号：US14613075

申请日：2015-02-03

Applicant: General Electric Company

Inventor： Paul Edward Cuddihy ,  Ravi Kiran Reddy Palla ,  Justin DeSpenza McHugh

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0484 ,  G06F17/24 ,  G06F17/22

CPC classification number: G06F16/3322 ,  G06F3/0482 ,  G06F16/22 ,  G06F16/2443 ,  G06F16/28 ,  G06F16/3331 ,  G06F16/335 ,  G06F17/2247 ,  G06F17/243

Abstract: A method includes storing a database search query for searching a semantic database. The database search query includes references to a plurality of data classes. The data classes correspond to data stored in the semantic database. The database search query includes a plurality of filter values and a plurality of return values. Relationship data is stored in association with the stored database search query. The relationship data indicates relationships among data classes included in the plurality of data classes. A data entry form is automatically generated. The data entry form includes a respective data entry mechanism that corresponds to each filter value included in the database search query. The data entry form also includes a respective data display column that corresponds to each return variable. A respective set of permissible input values is automatically generated for each of the data entry mechanisms.

Abstract translation: 一种方法包括存储用于搜索语义数据库的数据库搜索查询。 数据库搜索查询包括对多个数据类的引用。 数据类对应于存储在语义数据库中的数据。 数据库搜索查询包括多个过滤器值和多个返回值。 关系数据与存储的数据库搜索查询相关联地存储。 关系数据表示包括在多个数据类中的数据类之间的关系。 自动生成数据输入表单。 数据输入表格包括对应于包括在数据库搜索查询中的每个过滤器值的相应数据输入机制。 数据输入表单还包括对应于每个返回变量的相应数据显示列。 为每个数据输入机制自动生成相应的一组允许的输入值。

公开(公告)号：US10268345B2

公开(公告)日：2019-04-23

申请号：US15354678

申请日：2016-11-17

Applicant: General Electric Company

Inventor： Kareem Sherif Aggour ,  Jenny Weisenberg Williams ,  Justin DeSpenza McHugh ,  Vijay Shiv Kumar

IPC: G06F15/16 ,  G06F3/0482 ,  G06F3/0484 ,  H04L12/26 ,  H04L12/24 ,  G06Q10/10 ,  G06F17/30 ,  G06T11/20

Abstract: According to some embodiments, system and methods for representing nodes and data flows in a network are provided, comprising providing a hierarchical taxonomy for one or more concepts; providing one or more hierarchical taxonomies for one or more boundary types, wherein one or more values from each boundary type are combined to form a definition of a boundary; and associating the at least one concept and at least one boundary with a transmission of data between a first node and a second node, wherein the transmitted data is a data flow. Numerous other aspects are provided.

公开(公告)号：US20180129941A1

公开(公告)日：2018-05-10

申请号：US15347887

申请日：2016-11-10

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Steven Matt Gustafson ,  Kareem Sherif Aggour ,  Paul Edward Cuddihy ,  Alfredo Gabaldon Royval ,  Justin DeSpenza McHugh ,  Luis Babaji Ng Tari

IPC: G06N5/02 ,  G06F17/30

CPC classification number: G06N5/02 ,  G06F16/90335 ,  G06Q10/04

Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.

公开(公告)号：US20170060972A1

公开(公告)日：2017-03-02

申请号：US14839434

申请日：2015-08-28

Applicant: General Electric Company

Inventor： Justin DeSpenza McHugh ,  Andrew Walter Crapo

IPC: G06F17/30

CPC classification number: G06F16/258

Abstract: Disclosed are systems, methods, and machine-readable storage media for converting process data extracted from one or more data source systems into a data-source-independent intermediate representation, and then applying a domain-specific semantic ontology to the intermediate representation to create a semantic representation of the process data. The intermediate representation may specify, for each instances of a process object within a process flow, a unique identifier, a set of observations, and references to process-object instance immediately preceding or following the process-object instance at issue.

Abstract translation: 公开了用于将从一个或多个数据源系统提取的过程数据转换成与数据源无关的中间表示的系统，方法和机器可读存储介质，然后将特定于域的语义本体应用于中间表示以创建 过程数据的语义表示。 中间表示可以针对进程流中的进程对象的每个实例来指定紧接在所讨论的进程对象实例之前或之后的唯一标识符，一组观察结果以及对进程对象实例的引用。