APPLICATION CUSTOMIZATION THROUGH LINKED EMBEDDED AREAS
    1.
    发明申请
    APPLICATION CUSTOMIZATION THROUGH LINKED EMBEDDED AREAS 审中-公开
    通过连接的嵌入式领域进行应用定制

    公开(公告)号:US20160110321A1

    公开(公告)日:2016-04-21

    申请号:US14516923

    申请日:2014-10-17

    IPC分类号: G06F17/22 H04L29/08

    摘要: Examples of application customization through linked embedded areas are provided herein. Linked embedded areas can be used to customize an application in a way that allows both user customization and application provider application updates. In response to receiving a request to initiate an application, static content portions of the application can be accessed, and embedded areas of the application can be identified. Embedded areas are linked to content variants that include information representing content displayable in the embedded area. The content variant linked to the embedded area of the application can be retrieved, and a user-specific instance of the application can be generated. The user-specific instance includes the static content portions and the embedded area. The content displayed in the embedded area reflects the content variant.

    摘要翻译: 本文提供了通过链接嵌入区域进行应用定制的示例。 链接的嵌入式区域可用于以允许用户定制和应用程序提供程序应用程序更新的方式自定义应用程序。 响应于接收到发起应用的请求,可以访问应用的静态内容部分,并且可以识别应用的嵌入区域。 嵌入区域链接到内容变体,其中包括表示在嵌入区域中可显示的内容的信息。 可以检索链接到应用程序的嵌入区域的内容变体,并且可以生成应用程序的用户特定实例。 用户特定实例包括静态内容部分和嵌入区域。 嵌入区域中显示的内容反映内容变体。

    Domain knowledge driven semantic extraction system
    2.
    发明授权
    Domain knowledge driven semantic extraction system 有权
    领域知识驱动语义提取系统

    公开(公告)号:US09582495B2

    公开(公告)日:2017-02-28

    申请号:US14307248

    申请日:2014-06-17

    申请人: Yuqian Song

    发明人: Yuqian Song

    IPC分类号: G06F17/27 G06F17/20 G06F17/30

    CPC分类号: G06F17/2785 G06F17/30731

    摘要: A semantic extraction system leverages domain expert knowledge, to impart meaningful business information aiding ordinary knowledge consumers in understanding large/complex data volumes and models thereof. Certain embodiments may comprise a layered structure comprising an information uplifting layer, a semantic processing layer, and a visual representation layer. Referencing domain knowledge model(s) created by human domain experts, the information uplifting layer extracts and maintains meaningful information in a semantic structure. The semantic processing layer then processes this extracted information for various different business analysis purposes. Finally, the visual representation layer allows the analyzed and aggregated information to be arranged and visualized via a range of interactive tools. The overall layered structure is powered by the domain knowledge models, which capture specialized knowledge from experts in different domains. Such domains can include industry and enterprise characteristics, data visualization, and model structure and function.

    摘要翻译: 语义提取系统利用领域专家知识,传达有意义的商业信息,帮助普通知识消费者了解大型/复杂数据量及其模型。 某些实施例可以包括包括信息提升层,语义处理层和视觉表示层的分层结构。 引用人类领域专家创建的领域知识模型,信息提升层在语义结构中提取和维护有意义的信息。 语义处理层然后处理这些提取的信息用于各种不同的业务分析目的。 最后,视觉表示层允许通过一系列交互式工具来排列和显示分析和聚合的信息。 整体分层结构由领域知识模型提供支持,该模型从不同领域的专家获取专业知识。 这些领域可以包括行业和企业特征,数据可视化,模型结构和功能。

    IN-MEMORY APPROACH TO EXTEND SEMANTIC EVENT PROCESSING WITH DOMAIN INSIGHTS
    3.
    发明申请
    IN-MEMORY APPROACH TO EXTEND SEMANTIC EVENT PROCESSING WITH DOMAIN INSIGHTS 有权
    使用域名扩展语义事件处理的内存方法

    公开(公告)号:US20160139969A1

    公开(公告)日:2016-05-19

    申请号:US14541749

    申请日:2014-11-14

    申请人: Yuqian Song

    发明人: Yuqian Song

    IPC分类号: G06F9/54 G06F17/30

    摘要: A method, medium, and system to receive an event stream, the event stream including a plurality of events, the events being semantically modeled; receive domain insights specifying a relationship between two events, the domain insights being semantically modeled and defined by a specified time limit and a comparison of event attributes using the specified time limit with a logical operator; retrieve stored representations of events referenced in the received domain insights; process the event stream, the received domain insights, and the retrieved stored events to produce a temporal processing result; and store the temporal processing result.

    摘要翻译: 用于接收事件流的方法,介质和系统,所述事件流包括多个事件,所述事件被语义建模; 接收指定两个事件之间的关系的域洞察,域分析在语义上建模并由指定的时间限制定义,并且使用指定的时间限制与逻辑运算符比较事件属性; 检索在接收到的域洞察中引用的事件的存储表示; 处理事件流,接收的域洞察和检索的存储事件以产生时间处理结果; 并存储时间处理结果。

    In-memory approach to extend semantic event processing with domain insights
    4.
    发明授权
    In-memory approach to extend semantic event processing with domain insights 有权
    使用域内洞察来扩展语义事件处理的内存中方法

    公开(公告)号:US09459939B2

    公开(公告)日:2016-10-04

    申请号:US14541749

    申请日:2014-11-14

    申请人: Yuqian Song

    发明人: Yuqian Song

    摘要: A method, medium, and system to receive an event stream, the event stream including a plurality of events, the events being semantically modeled; receive domain insights specifying a relationship between two events, the domain insights being semantically modeled and defined by a specified time limit and a comparison of event attributes using the specified time limit with a logical operator; retrieve stored representations of events referenced in the received domain insights; process the event stream, the received domain insights, and the retrieved stored events to produce a temporal processing result; and store the temporal processing result.

    摘要翻译: 用于接收事件流的方法,介质和系统,所述事件流包括多个事件,所述事件被语义建模; 接收指定两个事件之间的关系的域洞察,域分析在语义上建模并由指定的时间限制定义,并且使用指定的时间限制与逻辑运算符比较事件属性; 检索在接收到的域洞察中引用的事件的存储表示; 处理事件流,接收的域洞察和检索的存储事件以产生时间处理结果; 并存储时间处理结果。

    Domain Knowledge Driven Semantic Extraction System
    5.
    发明申请
    Domain Knowledge Driven Semantic Extraction System 有权
    域知识驱动语义提取系统

    公开(公告)号:US20150363386A1

    公开(公告)日:2015-12-17

    申请号:US14307248

    申请日:2014-06-17

    申请人: Yuqian Song

    发明人: Yuqian Song

    IPC分类号: G06F17/27

    CPC分类号: G06F17/2785 G06F17/30731

    摘要: A semantic extraction system leverages domain expert knowledge, to impart meaningful business information aiding ordinary knowledge consumers in understanding large/complex data volumes and models thereof. Certain embodiments may comprise a layered structure comprising an information uplifting layer, a semantic processing layer, and a visual representation layer. Referencing domain knowledge model(s) created by human domain experts, the information uplifting layer extracts and maintains meaningful information in a semantic structure. The semantic processing layer then processes this extracted information for various different business analysis purposes. Finally, the visual representation layer allows the analyzed and aggregated information to be arranged and visualized via a range of interactive tools. The overall layered structure is powered by the domain knowledge models, which capture specialized knowledge from experts in different domains. Such domains can include industry and enterprise characteristics, data visualization, and model structure and function.

    摘要翻译: 语义提取系统利用领域专家知识,传达有意义的业务信息,帮助普通知识消费者理解大型/复杂数据量及其模型。 某些实施例可以包括包括信息提升层,语义处理层和视觉表示层的分层结构。 引用人类领域专家创建的领域知识模型,信息提升层在语义结构中提取和维护有意义的信息。 语义处理层然后处理该提取的信息用于各种不同的业务分析目的。 最后,视觉表示层允许通过一系列交互式工具来排列和显示分析和聚合的信息。 整体分层结构由领域知识模型提供支持,该模型从不同领域的专家获取专业知识。 这些领域可以包括行业和企业特征,数据可视化,模型结构和功能。