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    METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR SEMANTICALLY ENRICHING CONTENT AND FOR SEMANTIC NAVIGATION
    2.
    发明申请
    METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR SEMANTICALLY ENRICHING CONTENT AND FOR SEMANTIC NAVIGATION 审中-公开
    用于语义增强内容和语义导航的方法，系统和计算机可读介质

    公开(公告)号：US20140074845A1

    公开(公告)日：2014-03-13

    申请号：US14079406

    申请日：2013-11-13

    Applicant: Open Text Corporation

    Inventor： Pascal Dimassimo ,  Steve Pettigrew ,  Martin Brousseau ,  Charles-Olivier Simard ,  Eric Williams ,  Francis Lacroix ,  Alex Dowgailenko ,  Agostino Deligia ,  Jean-Michel Texier

    IPC: G06F17/30

    CPC classification number: G06F16/316 ,  G06F16/248 ,  G06F16/3325 ,  G06F16/3344 ,  G06F16/338 ,  G06F16/36 ,  G06F16/951 ,  G06F17/241

    Abstract: Content of different formats may be sourced from various data sources such as content servers and ingested into a data integration server by an ingestion broker embodied on a non-transitory computer readable medium. The ingestion broker may normalize the content of different formats into a uniform representation that can be indexed and delivered across multiple digital channels for a variety of applications. The normalized content may be analyzed and semantic metadata may be determined from the normalized content. The normalized content can be semantically enriched by associating the semantic metadata and the like with the content. The semantic metadata can be stored in a semantic index that can be used for searching via the data integration server. During search, the semantic metadata can be instantiated as facets for user navigation and refinement of search criteria and additional semantic relationships can be assigned to the words in the normalized content.

    Abstract translation: 不同格式的内容可以来自诸如内容服务器的各种数据源，并且通过体现在非暂时性计算机可读介质上的摄取代理被摄入到数据集成服务器中。 摄入经纪人可以将不同格式的内容归一化为可以针对各种应用在多个数字频道上进行索引和传送的统一表示。 可以分析归一化内容，并且可以从标准化内容确定语义元数据。 通过将语义元数据等与内容相关联可以在语义上丰富标准化内容。 语义元数据可以存储在可用于通过数据集成服务器搜索的语义索引中。 在搜索期间，语义元数据可以被实例化为用户导航和细化搜索条件的方面，并且可以将额外的语义关系分配给标准化内容中的单词。

    RECONFIGURABLE MODEL FOR AUTO-CLASSIFICATION SYSTEM AND METHOD
    4.
    发明申请
    RECONFIGURABLE MODEL FOR AUTO-CLASSIFICATION SYSTEM AND METHOD 有权
    用于自动分类系统和方法的可重构模型

    公开(公告)号：US20140122410A1

    公开(公告)日：2014-05-01

    申请号：US13665622

    申请日：2012-10-31

    Applicant: OPEN TEXT CORPORATION

    Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguère

    IPC: G06N5/02

    CPC classification number: G06F17/30705 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30011 ,  G06F17/30569 ,  G06F17/30598 ,  G06N99/005

    Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

    Abstract translation: 可重新配置的自动文档分类系统和方法向用户提供分类度量，并使用户能够重新配置分类模型。 用户可以通过添加或删除示例，创建，编辑或删除规则或对分类模型执行其他此类调整来细化分类模型。 这种技术增强了自动分类过程的整体透明度和防御性。

    Reconfigurable Model for Auto-Classification System and Method
    7.
    发明申请
    Reconfigurable Model for Auto-Classification System and Method 审中-公开
    自动分类系统和方法的可重构模型

    公开(公告)号：US20160117608A1

    公开(公告)日：2016-04-28

    申请号：US14987234

    申请日：2016-01-04

    Applicant: Open Text Corporation

    Inventor： Stephen Ludlow ,  Steve Pettigrew ,  Alex Dowgailenko ,  Agostino Deligia ,  Isabelle Giguere

    IPC: G06N99/00 ,  G06F17/30

    Abstract: A reconfigurable automatic document-classification system and method provides classification metrics to a user and enables the user to reconfigure the classification model. The user can refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

    Abstract translation: 可重新配置的自动文档分类系统和方法向用户提供分类度量，并使用户能够重新配置分类模型。 用户可以通过添加或删除示例，创建，编辑或删除规则或对分类模型执行其他此类调整来细化分类模型。 这种技术增强了自动分类过程的整体透明度和防御性。

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