Dynamic linguistic assessment and measurement

    公开(公告)号:US11361031B2

    公开(公告)日:2022-06-14

    申请号:US16154057

    申请日:2018-10-08

    Abstract: Embodiments are directed to a system, a computer program product, and a method for identification of linguistically related elements, and more specifically to prediction of a linguistically related element. A linguistic algorithm forms a cluster representation of corpus entries. A linguistic term is identified and applied to the cluster representation to identify proximally related linguistic terms. Associative relationships between the proximally related terms and category metadata are iteratively investigated. One or more linguistic terms related across the two more metadata categories is identified and designated as the linguistically related element.

    Adaptive data fetching from network storage

    公开(公告)号:US10931776B2

    公开(公告)日:2021-02-23

    申请号:US14144894

    申请日:2013-12-31

    Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.

    PATTERN-BASED PRODUCT IDENTIFICATION WITH FEEDBACK
    5.
    发明申请
    PATTERN-BASED PRODUCT IDENTIFICATION WITH FEEDBACK 审中-公开
    基于图案的产品标识与反馈

    公开(公告)号:US20160026968A1

    公开(公告)日:2016-01-28

    申请号:US14339724

    申请日:2014-07-24

    CPC classification number: G06Q10/087

    Abstract: Automatically associating information technology resource patterns with specific information technology products by receiving a set of data about information technology assets, matching a subset of that data to a pattern in a set of patterns, determining that the subset of the data represents a product associated with that pattern, reporting this determination; receiving feedback on the accuracy of the determination, and updating pattern set information in response to that feedback.

    Abstract translation: 通过接收关于信息技术资产的一组数据,将信息技术资源模式与特定信息技术产品自动关联,将该数据的一部分与一组模式中的模式相匹配,确定该数据子集代表与该模型相关联的产品 模式,报告这个决心; 接收关于确定精度的反馈,以及响应于该反馈来更新模式集信息。

    ADAPTIVE DATA FETCHING FROM NETWORK STORAGE
    6.
    发明申请
    ADAPTIVE DATA FETCHING FROM NETWORK STORAGE 审中-公开
    网络存储的自适应数据隔离

    公开(公告)号:US20150186452A1

    公开(公告)日:2015-07-02

    申请号:US14144894

    申请日:2013-12-31

    CPC classification number: H04L67/2828 H04L67/1097

    Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.

    Abstract translation: 用于在网络计算环境中取数据的方法,系统和计算机程序产品。 在一个实施例中,该方法包括从分析节点接收针对所定义的作业的一组数据的请求,以及在网络存储中识别作业的数据的子集。 数据子集根据在作业中预测要访问的数据的顺序加载到分析节点。 在一个实施例中,请求包括作业的规范,并且分析规范以识别数据的子集。 在一个实施例中,通过识别与所定义的作业具有关系的另一作业以及识别用于该另一作业的数据来识别数据子集。 在一个实施例中,联网的计算环境是云计算环境,并且所定义的作业是分析作业。

    License Reconciliation with Multiple License Types and Restrictions
    8.
    发明申请
    License Reconciliation with Multiple License Types and Restrictions 审中-公开
    许可证协调与多个许可证类型和限制

    公开(公告)号:US20140108403A1

    公开(公告)日:2014-04-17

    申请号:US13650542

    申请日:2012-10-12

    CPC classification number: G06F16/00 G06F16/21 G06F21/105 G06Q30/06 G06Q2220/18

    Abstract: Techniques for license reconciliation with multiple license types and restrictions. A method includes grouping a collection of multiple software installation instances, a collection of multiple hardware devices and a collection of multiple software licenses into multiple clusters, generating a reconciliation matrix for each cluster, wherein each row in the reconciliation matrix represents a software installation instance or a hardware device, each column in the reconciliation matrix represents a license type and/or an individual license, and each cell in the reconciliation matrix represents a license requirement and applicability of each software installation instance or hardware device, solving each reconciliation matrix, and generating a license reconciliation plan based on the solved reconciliation matrices.

    Abstract translation: 具有多种许可证类型和限制的许可证协调技术。 一种方法包括将多个软件安装实例的集合,多个硬件设备的集合以及多个软件许可证的集合分组成多个集群,为每个集群生成对帐矩阵,其中协调矩阵中的每一行表示软件安装实例或 硬件设备,对帐矩阵中的每一列表示许可证类型和/或单独的许可证,并且对帐矩阵中的每个单元表示每个软件安装实例或硬件设备的许可证要求和适用性,解决每个对帐矩阵,以及生成 基于解决的对帐矩阵的许可证协调计划。

    Adaptive data fetching from network storage

    公开(公告)号:US11956330B2

    公开(公告)日:2024-04-09

    申请号:US17138456

    申请日:2020-12-30

    CPC classification number: H04L67/5651 H04L67/1097

    Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.

    GENERATING AND USING A SENTENCE MODEL FOR ANSWER GENERATION

    公开(公告)号:US20220075951A1

    公开(公告)日:2022-03-10

    申请号:US17015663

    申请日:2020-09-09

    Abstract: In an approach to generating and using a sentence model for answer generation, one or more computer processors ingest a first corpus of a plurality of text sentences. One or more computer processors convert the plurality of text sentences into a plurality of sentence vectors. One or more computer processors group the plurality of sentence vectors into a plurality of sentence clusters, wherein a sentence cluster is composed of sentences that are semantically similar. One or more computer processors receive a second corpus. One or more computer processors determine, for each sentence cluster of the plurality of sentence clusters, a frequency each sentence cluster appears in the second corpus. Based on the determined frequency, one or more computer processors calculate a probability of each sentence cluster of the plurality of sentence clusters. Based on the calculated probabilities, one or more computer processors generate a first sentence model.

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