SEMANTIC PHRASE SUGGESTION ENGINE
    2.
    发明申请
    SEMANTIC PHRASE SUGGESTION ENGINE 有权
    西班牙语建议引擎

    公开(公告)号:US20150149154A1

    公开(公告)日:2015-05-28

    申请号:US14610498

    申请日:2015-01-30

    CPC classification number: G06F17/2785 G06F17/28 G06F17/2881

    Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.

    Abstract translation: 一种基于上下文特定用户组提供术语和句子建议的语义短语建议引擎。 语义网络内的知识领域可以从用户软件应用程序自动导出,并且知识领域内的每个术语包括关于术语的元数据,例如术语类型和重要性指标。 指标可以在特定用户组的上下文中定义,并且涉及该组使用该术语的次数(例如,在文档,电子邮件等中)。语义短语建议引擎还可以包括拼写条件和语法条件,其中 然后可以根据具体针对用户组的条件和重要性指标提供短语建议。

    Semantic phrase suggestion engine
    4.
    发明授权
    Semantic phrase suggestion engine 有权
    语义短语建议引擎

    公开(公告)号:US09311296B2

    公开(公告)日:2016-04-12

    申请号:US14610498

    申请日:2015-01-30

    CPC classification number: G06F17/2785 G06F17/28 G06F17/2881

    Abstract: A semantic phrase suggestion engine that provides term and sentence suggestions based on context-specific user groups. Knowledge domains within a semantic network may be automatically derived from user software applications, and each term within the knowledge domain includes meta-data about the terms, e.g., term type and an importance indicator. The indicators may be defined within the context of specific user groups and relate to how many times that group has used the term (e.g., in documents, emails, etc.) The semantic phrase suggestion engine may also include spelling conditions and grammar conditions, which can then provide phrase suggestions according to the conditions and importance indicators, specific to a user group.

    Abstract translation: 一种基于上下文特定用户组提供术语和句子建议的语义短语建议引擎。 语义网络内的知识领域可以从用户软件应用程序自动导出,并且知识领域内的每个术语包括关于术语的元数据,例如术语类型和重要性指标。 指标可以在特定用户组的上下文中定义,并且涉及该组使用该术语的次数(例如,在文档,电子邮件等中)。语义短语建议引擎还可以包括拼写条件和语法条件,其中 然后可以根据具体针对用户组的条件和重要性指标提供短语建议。

    Personalized controls for a semantic system utilizing a central and a local semantic network
    5.
    发明授权
    Personalized controls for a semantic system utilizing a central and a local semantic network 有权
    用于使用中央和局部语义网络的语义系统的个性化控制

    公开(公告)号:US09098806B2

    公开(公告)日:2015-08-04

    申请号:US14530418

    申请日:2014-10-31

    CPC classification number: G06N5/02 G06F17/30731 G06N5/04 G09B7/04

    Abstract: A method, machine readable storage medium, and system for providing personalized semantic controls for semantic systems. A semantic network may be set up with initial configuration. A business application user interface, including semantic controls, may be coupled to the semantic network to interact with the semantic network. Semantic objects and relations may be defined in the semantic network for business terminology. A user request for business data may be received. The semantic network may update the objects and relations for business terminology based on the request. The business application user interface may provide for personalized semantic controls based on the updated objects and relations.

    Abstract translation: 一种用于为语义系统提供个性化语义控制的方法,机器可读存储介质和系统。 可以使用初始配置来建立语义网络。 可以将包括语义控制的业务应用程序用户界面耦合到语义网络以与语义网络交互。 语义对象和关系可以在用于商业术语的语义网络中定义。 可以接收用户对业务数据的请求。 语义网络可以根据请求更新对象和业务术语的关系。 业务应用程序用户界面可以基于更新的对象和关系来提供个性化语义控件。

    Pluggable modules in a cascading learning system
    6.
    发明授权
    Pluggable modules in a cascading learning system 有权
    级联学习系统中的可插拔模块

    公开(公告)号:US09031886B2

    公开(公告)日:2015-05-12

    申请号:US13623596

    申请日:2012-09-20

    CPC classification number: G06F17/30864

    Abstract: A cascading learning system for semantic search is described including the generation, training and testing of a domain-specific module for a domain-specific search. One or more input elements and output elements are specified for the domain-specific module with reference to a domain that relates these elements together through data sets that include related metadata. The related metadata may include semantic terms that are incorporated into a contextual network applicable to the domain.

    Abstract translation: 描述了用于语义搜索的级联学习系统,其包括针对域特定搜索的特定于域的模块的生成,训练和测试。 通过参考通过包括相关元数据的数据集将这些元素相关联的域来指定针对域特定模块的一个或多个输入元素和输出元素。 相关的元数据可以包括并入到适用于域的上下文网络中的语义术语。

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