Ontology decomposer
    42.
    发明授权

    公开(公告)号:US09740763B2

    公开(公告)日:2017-08-22

    申请号:US14777668

    申请日:2014-11-19

    CPC classification number: G06F17/30584 G06F17/30312 G06F17/30569

    Abstract: Technologies are generally described for methods and systems effective to store a source ontology that is effective to represent first explicit data and second explicit data. In an example, a processor may evaluate the source ontology to identify the first explicit data and the second explicit data. The processor may also identify a relationship between the first and second explicit data. The processor may also partition the source ontology into first decomposed data and second decomposed data based on the relationship between the first and second explicit data. The first decomposed data may include the first explicit data, and the second decomposed data may include the second explicit data. The processor may also store the first decomposed data in a first concealment module. The processor may also store the second decomposed data in a second concealment module that may be different from the first concealment module.

    COMPOSITE IMAGE GENERATION TO REMOVE OBSCURING OBJECTS

    公开(公告)号:US20170213376A1

    公开(公告)日:2017-07-27

    申请号:US15483418

    申请日:2017-04-10

    Inventor: Daqi LI Jun Fang

    Abstract: Technologies are generally described for methods and systems effective to generate a composite image. The methods may include receiving first image data that includes object data corresponding to an object and receiving second image data that includes obscuring data. The obscuring data, if displayed on a display, may obscure at least a portion of the. The methods may also include identifying a first region that may include the object data, in the first image data. The methods may also include identifying a second region, that may include the obscuring data, in the second image data. The methods may also include replacing at least part of the second region with at least part of the first region to generate the composite image data that may include at least some of the object data. The methods may also include displaying the composite image on a display.

    AUTOMATIC CONTACTS SORTING
    44.
    发明申请
    AUTOMATIC CONTACTS SORTING 审中-公开
    自动联系人

    公开(公告)号:US20170041444A1

    公开(公告)日:2017-02-09

    申请号:US15299840

    申请日:2016-10-21

    Inventor: Daqi Li Jun Fang

    Abstract: To automatically sort multiple contacts of a user, in some examples, a system may be configured to monitor physiological signals, which reflect the emotional responses, of the user during communications between the user and his/her contacts and, further, to classify the contacts into multiple contact groups that may be sorted by the emotional responses of the user.

    Abstract translation: 为了自动对用户的多个联系人进行排序,在一些示例中,可以将系统配置为在用户和他/她的联系人之间的通信期间监视用户的反映情绪反应的生理信号,并且进一步分类联系人 分成可以由用户的情绪反应排序的多个联系人组。

    COARSE SEMANTIC DATA SET ENHANCEMENT FOR A REASONING TASK
    45.
    发明申请
    COARSE SEMANTIC DATA SET ENHANCEMENT FOR A REASONING TASK 审中-公开
    粗略的语料数据集增强了一个合理的任务

    公开(公告)号:US20150154178A1

    公开(公告)日:2015-06-04

    申请号:US14412412

    申请日:2013-04-19

    Inventor: Jun Fang

    CPC classification number: G06F17/2785 G06F16/215 G06N5/04

    Abstract: Technologies are generally described for enhancing semantic data to be used by a reasoning task. In some examples, a method and a system for removing inconsistent data from, and adding enhancement data to, a coarse data set are described. The method may include receiving, by a data enhancement module, a first set of semantic data associated with the reasoning task. The method may include generating, by the data enhancement module, a second set of semantic data by removing inconsistent data from the first set of semantic data, wherein the inconsistent data is identified from the first set of semantic data by a justification determination process. The method may further include generating, by the data enhancement module, a third set of semantic data by adding enhancement data to the second set of semantic data, wherein the enhancement data is obtained based on the second set of semantic data by an abduction determination process.

    Abstract translation: 通常描述技术来增强推理任务使用的语义数据。 在一些示例中,描述了用于从粗略数据集中去除不一致数据并将增强数据添加到粗略数据集的方法和系统。 该方法可以包括由数据增强模块接收与推理任务相关联的第一组语义数据。 该方法可以包括通过从第一组语义数据中消除不一致的数据,由数据增强模块生成第二组语义数据,其中通过对齐确定过程从第一组语义数据识别不一致的数据。 该方法还可以包括通过将增强数据加到第二组语义数据中,由数据增强模块生成第三组语义数据,其中通过外展确定过程基于第二组语义数据获得增强数据 。

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