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    • 1. 发明申请
    • Identification mapping and translation method
    • 识别映射和翻译方法
    • US20050038671A1
    • 2005-02-17
    • US10642072
    • 2003-08-15
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • G06F7/00G06F17/00G06F19/00G06F17/60
    • G06Q50/22G06F19/00G16H10/60Y10S707/99936
    • A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.
    • 一种用于在包括数据库的系统中映射和标识实体信息的方法。 客户端应用程序将客户端实体属性发送到包含数据库的系统。系统将客户端实体的属性与存储在系统数据库中的每个系统实体进行比较。 基于比较的结果,计算客户实体与存储在系统中的每个实体之间的相关性的分数。 为了执行该计算,使用多隶属贝叶斯函数。 一旦计算分数,它们将基于预定的阈值被分类为三个置信区间。 将客户端属性插入到系统数据库中。 然后,这些属性将连接到现有系统实体,或连接到创建的新系统实体。
    • 2. 发明授权
    • Identification mapping and translation method
    • 识别映射和翻译方法
    • US07167858B2
    • 2007-01-23
    • US10642072
    • 2003-08-15
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • G06F17/30
    • G06Q50/22G06F19/00G16H10/60Y10S707/99936
    • A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.
    • 一种用于在包括数据库的系统中映射和标识实体信息的方法。 客户端应用程序将客户端实体属性发送到包含数据库的系统。系统将客户端实体的属性与存储在系统数据库中的每个系统实体进行比较。 基于比较的结果,计算客户实体与存储在系统中的每个实体之间的相关性的分数。 为了执行该计算,使用多隶属贝叶斯函数。 一旦计算分数,它们将基于预定的阈值被分类为三个置信区间。 将客户端属性插入到系统数据库中。 然后,这些属性将连接到现有系统实体,或连接到创建的新系统实体。