公开(公告)号：US20160162543A1

公开(公告)日：2016-06-09

申请号：US14733693

申请日：2015-06-08

Applicant: General Electric Company

Inventor： Steven Matt Gustafson ,  Abha Moitra ,  Kareem Sherif Aggour ,  Luis Babaji Ng Tari ,  Aisha Yousuf

IPC: G06F17/30

CPC classification number: G06F17/30448 ,  G06F17/30353 ,  G06F17/30477 ,  G06F17/30548 ,  G06Q50/00

Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.

Abstract translation: 公开了一种用于在工业时间序列数据中搜索和查找数据的系统和方法。 计算机系统从客户端系统接收搜索查询。 计算机系统访问包括多个存储的时间序列数据集的数据库。 对于每个存储的时间序列数据集，计算机系统确定所存储的时间序列数据集是否包括与所接收的搜索查询匹配的一个或多个部分。 根据存储的时间序列数据集中的两个或更多个包括与所接收的搜索查询匹配的至少一个部分的确定，计算机系统确定每个存储的时间序列数据集中的匹配部分是否具有重叠的时间段。 根据每个时间序列数据集中的匹配部分具有重叠时间段的确定，计算机系统识别在重叠时间段期间发生的特定事件。

公开(公告)号：US20160224543A1

公开(公告)日：2016-08-04

申请号：US15004725

申请日：2016-01-22

Applicant: General Electric Company

Inventor： Luis Babaji Ng Tari ,  Abha Moitra

IPC: G06F17/27

CPC classification number: G06F17/2785 ,  G06F17/2705 ,  G06F17/274

Abstract: A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property.

Abstract translation: 用于从文本体提取本体信息的系统包括被配置为接收动词短语的输入模块。 该系统还包括解析模块，其被配置为将文本体中的一个或多个句子解析成解析树格式以生成一组解析的句子。 该系统进一步包括命名实体识别模块，其被配置为从该解析语句集中识别解析语句的子集，从解析语句的子集中识别名词短语的子集，将名词短语的子集中的第一名词短语分类为 一个实体，并将名词短语的子集中的第二个名词短语分类为属性。 该系统还包括概念提取模块，其被配置为至少部分地基于第一实体和第一属性的语法关系来识别和输出第一实体和第一属性之间的概念关系。

公开(公告)号：US20140163955A1

公开(公告)日：2014-06-12

申请号：US13710218

申请日：2012-12-10

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Luis Babaji Ng Tari ,  Abha Moitra

IPC: G06F17/28

CPC classification number: G06F17/2785 ,  G06F17/2705 ,  G06F17/274

Abstract: A system for extracting ontological information from a body of text includes an input module configured to receive a verb phrase. The system also includes a parsing module configured to parse one or more sentences from the body of text into parse tree format to generate a set of parsed sentences. The system further includes a named-entity-recognition module configured to identify a subset of parsed sentences from the set of parsed sentences, identify a subset of noun phrases from the subset of parsed sentences, classify a first noun phrase in subset of noun phrases as an entity, and classify a second noun phrase in subset of noun phrases as a property. The system also includes a concept-extraction module configured to identify and output a conceptual relationship between the first entity and the first property based at least partially on grammatical relationship of the first entity and the first property.

Abstract translation: 用于从文本体提取本体信息的系统包括被配置为接收动词短语的输入模块。 该系统还包括解析模块，其被配置为将文本体中的一个或多个句子解析成解析树格式以生成一组解析的句子。 该系统进一步包括命名实体识别模块，其被配置为从该解析语句集中识别解析语句的子集，从解析语句的子集中识别名词短语的子集，将名词短语的子集中的第一名词短语分类为 一个实体，并将名词短语的子集中的第二个名词短语分类为属性。 该系统还包括概念提取模块，其被配置为至少部分地基于第一实体和第一属性的语法关系来识别和输出第一实体和第一属性之间的概念关系。

公开(公告)号：US10146859B2

公开(公告)日：2018-12-04

申请号：US15153788

申请日：2016-05-13

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Luis Babaji Ng Tari ,  Varish Vyankatesh Mulwad

IPC: G06F17/30 ,  G06F3/0484 ,  G06F17/27

Abstract: According to one embodiment, a method for text analysis is provided. The method includes recognizing a concept. Recognizing a concept includes receiving a stream of text including a plurality of entities, and extracting at least one concept from the plurality of entities. The method also includes disambiguating the at least one extracted concept. Disambiguating the at least one extracted concept includes receiving the at least one extracted concept, and generating at least one disambiguated concept corresponding to the at least one extracted concept.

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：US20140324908A1

公开(公告)日：2014-10-30

申请号：US13872868

申请日：2013-04-29

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Michael Evans Graham ,  Andrew Walter Crapo ,  Abha Moitra ,  Gerald Bowden Wise ,  Steven Matt Gustafson ,  Victor Manuel Perez-Zarate ,  Luis Babaji Ng Tari

IPC: G06F17/30

CPC classification number: G06F16/215

Abstract: The present disclosure relates to the use of both semantic analysis and statistical text mining to process data records, improving the completeness and accuracy of records so processed. By way of example, a data record may be iteratively processed by text mining using seeds derived from a semantic template and by validating the results based on semantic reasoning based on the semantic template.

Abstract translation: 本公开涉及使用语义分析和统计文本挖掘来处理数据记录，提高如此处理的记录的完整性和准确性。 作为示例，可以通过使用从语义模板导出的种子的文本挖掘来迭代地处理数据记录，并且基于基于语义模板的语义推理来验证结果。

公开(公告)号：US10970634B2

公开(公告)日：2021-04-06

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 ,  G06N20/00 ,  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：US10078664B2

公开(公告)日：2018-09-18

申请号：US14733693

申请日：2015-06-08

Applicant: General Electric Company

Inventor： Steven Matt Gustafson ,  Abha Moitra ,  Kareem Sherif Aggour ,  Luis Babaji Ng Tari ,  Aisha Yousuf

IPC: G06F17/30 ,  G06Q50/00

CPC classification number: G06F16/24534 ,  G06F16/2322 ,  G06F16/2455 ,  G06F16/2474 ,  G06Q50/00

Abstract: A system and method for searching for and finding data across industrial time-series data is disclosed. A computer system receives a search query from a client system. The computer system accesses a database including a plurality of stored time-series data sets. For each stored time-series data set, the computer system determines whether the stored time-series data set includes one or more sections that match the received search query. In accordance with a determination that two or more of stored time-series data sets include at least one section that matches the received search query, the computer system determines whether the matching sections in each stored time-series data set have overlapping time periods. In accordance with a determination that the matching sections in each time-series data set have overlapping time periods, the computer system identifies a particular event that occurred during the overlapping time periods.

公开(公告)号：US20170329842A1

公开(公告)日：2017-11-16

申请号：US15153788

申请日：2016-05-13

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Luis Babaji Ng Tari ,  Varish Vyankatesh Mulwad

IPC: G06F17/30 ,  G06F3/0484

CPC classification number: G06F17/30684 ,  G06F3/04842 ,  G06F17/278

Abstract: According to one embodiment, a method for text analysis is provided. The method includes recognizing a concept. Recognizing a concept includes receiving a stream of text including a plurality of entities, and extracting at least one concept from the plurality of entities. The method also includes disambiguating the at least one extracted concept. Disambiguating the at least one extracted concept includes receiving the at least one extracted concept, and generating at least one disambiguated concept corresponding to the at least one extracted concept.

公开(公告)号：US20160147954A1

公开(公告)日：2016-05-26

申请号：US14554665

申请日：2014-11-26

Applicant: General Electric Company

Inventor： Luis Babaji Ng Tari ,  Brian J. Kolowitz ,  Benjamin John Wilson ,  Anna Louise Von Reden ,  Edwin Carl Nelson Wiancko ,  Rasu Shrestha ,  Christopher Deible

IPC: G06F19/00

CPC classification number: G16H40/20

Abstract: Disclosed and described systems, methods, and apparatus provide facilitate detection, processing, and relevancy analysis of clinical data. An example data event processing system includes a data event processor configured to receive a data event and to trigger, based on receipt of the data event, processing of the data event with respect to a clinical scenario. The example system includes a data relevancy processor configured to process the data event by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge. The example system includes an interface configured to output the data event and an indication of the relevancy of the data event with respect to the clinical scenario.

Abstract translation: 公开和描述的系统，方法和装置提供了临床数据的检测，处理和相关性分析。 示例性数据事件处理系统包括数据事件处理器，其被配置为接收数据事件并且基于数据事件的接收来触发关于临床情况的数据事件的处理。 示例系统包括数据相关处理器，其被配置为通过基于临床情景将自然语言处理和机器学习应用于数据事件来处理数据事件，并且基于临床情景来确定数据事件相对于临床情景的相关性， 领域知识和用户知识。 示例系统包括被配置为输出数据事件的接口和关于临床情景的数据事件的相关性的指示。