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    • 1. 发明申请
    • Type-driven rules for financial intellegence
    • 类型驱动的财务知识规则
    • US20080208720A1
    • 2008-08-28
    • US11710702
    • 2007-02-26
    • Randy DongLewis C. LevinRou-Peng HuangPeiyuan YanXiaohong YangPeter BullScott Sebelsky
    • Randy DongLewis C. LevinRou-Peng HuangPeiyuan YanXiaohong YangPeter BullScott Sebelsky
    • G06Q40/00
    • G06Q40/06G06Q40/00
    • Financial intelligence architecture that employs financial types that are combined with rules to build financial behavior into the product. Types have behaviors such that types can be assigned that lead to the physical creation of underlying code which embodies the behaviors. Extensibility is provided at least by type parameterization and new type creation. Because types are a design time experience, types are two-way and can be modified, even after instantiation. This allows for mixing and matching of types and underlying behavior giving the system more flexibility at design time while providing a huge simplification of all the details that actually go into such financial applications. The type library is a set of rules that produce metadata, which metadata is later processed by a separate engine to produce the physical schema. The type library defines the basic interactions, data types, and behaviors for predefined dimensions in the system.
    • 金融情报架构,采用结合规则的金融类型,将财务行为纳入产品。 类型具有这样的行为,即可以分配类型,从而导致体现行为的底层代码的物理创建。 至少通过类型参数化和新类型创建来提供可扩展性。 因为类型是设计时间体验,所以类型是双向的,即使在实例化之后也可以进行修改。 这允许混合和匹配类型和底层行为,使系统在设计时更灵活,同时提供了实际进入这种财务应用程序的所有细节的巨大简化。 类型库是一组生成元数据的规则,后来由单独的引擎处理元数据以生成物理模式。 类型库定义系统中预定义维度的基本交互,数据类型和行为。
    • 5. 发明授权
    • Metadata-based application deployment
    • 基于元数据的应用程序部署
    • US08020144B2
    • 2011-09-13
    • US11771425
    • 2007-06-29
    • Xiaohong Mark YangRandy DongJeffrey WangRou-Peng Huang
    • Xiaohong Mark YangRandy DongJeffrey WangRou-Peng Huang
    • G06F9/44
    • G06F8/20
    • Computer-implemented methods, computer-readable media, and an application system are disclosed for creating and deploying metadata-generated applications. Access is provided to one or more type libraries that each include one or more defined object types configurable for use in generating the application. The defined object types include data structure types, rule types, and data types. Input is elicited from a user regarding desired content and function of the application. Based on the user input, metadata is generated to adapt the defined object types to generate the application. Metadata is generated to adapt the defined data structure types to create one or more application databases, to adapt the defined rule types to create one or more application behaviors, and to adapt the defined data types to create one or more application data types.
    • 公开了计算机实现的方法,计算机可读介质和应用系统,用于创建和部署元数据生成的应用。 访问被提供给一个或多个类型库,每个类型库包括可配置用于生成应用程序的一个或多个定义的对象类型。 定义的对象类型包括数据结构类型,规则类型和数据类型。 用户从应用程序的所需内容和功能中引出输入。 基于用户输入,生成元数据以适应所定义的对象类型以生成应用。 生成元数据以适应定义的数据结构类型以创建一个或多个应用数据库,以适应所定义的规则类型以创建一个或多个应用行为,并使所定义的数据类型适应于创建一个或多个应用数据类型。
    • 6. 发明授权
    • Scalable selection management
    • 可扩展选择管理
    • US09223814B2
    • 2015-12-29
    • US12275211
    • 2008-11-20
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • G06F17/30
    • G06F17/30342G06F17/30312G06F17/30315G06F17/30336
    • Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.
    • 用于处理具有小且基本恒定的内存占用空间的大数据选择的架构。 该架构有助于基于数据对象的选择来创建数据源的数据对象集合(例如,行)。 可以根据所选择的数据对象的范围(span)和所选对象的模式来定义集合结构。 然后将这些设置结构保存在内存中,而不是数据对象中,以提供优化的内存使用。 在数据库实现中,解决方案将集合表示(结构)存储在几乎恒定的内存量中,而不管网格中的行数如何,而不考虑所选行数。 内存使用量可以与用户选择的不连续行数成正比。 随着用户更改行选择和模式标准,内存中的结构可以动态合并,替换或消除。
    • 7. 发明授权
    • Type-driven rules for financial intellegence
    • 类型驱动的财务知识规则
    • US08239299B2
    • 2012-08-07
    • US11710702
    • 2007-02-26
    • Randy DongLewis C. LevinRou-Peng HuangPeiyuan YanXiaohong YangPeter BullScott Sebelsky
    • Randy DongLewis C. LevinRou-Peng HuangPeiyuan YanXiaohong YangPeter BullScott Sebelsky
    • G06Q40/00
    • G06Q40/06G06Q40/00
    • Financial intelligence architecture that employs financial types that are combined with rules to build financial behavior into the product. Types have behaviors such that types can be assigned that lead to the physical creation of underlying code which embodies the behaviors. Extensibility is provided at least by type parameterization and new type creation. Because types are a design time experience, types are two-way and can be modified, even after instantiation. This allows for mixing and matching of types and underlying behavior giving the system more flexibility at design time while providing a huge simplification of all the details that actually go into such financial applications. The type library is a set of rules that produce metadata, which metadata is later processed by a separate engine to produce the physical schema. The type library defines the basic interactions, data types, and behaviors for predefined dimensions in the system.
    • 金融情报架构,采用结合规则的金融类型,将财务行为纳入产品。 类型具有这样的行为,即可以分配类型,从而导致体现行为的底层代码的物理创建。 至少通过类型参数化和新类型创建来提供可扩展性。 因为类型是设计时间体验,所以类型是双向的,即使在实例化之后也可以进行修改。 这允许混合和匹配类型和底层行为,使系统在设计时更灵活,同时提供了实际进入这种财务应用程序的所有细节的巨大简化。 类型库是一组生成元数据的规则,后来由单独的引擎处理元数据以生成物理模式。 类型库定义系统中预定义维度的基本交互,数据类型和行为。
    • 8. 发明申请
    • SCALABLE SELECTION MANAGEMENT
    • 可选择选择管理
    • US20100125578A1
    • 2010-05-20
    • US12275211
    • 2008-11-20
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • Rajeev V. KarunakaranRou-Peng HuangPablo BarvoMark Xiaohong Yang
    • G06F7/06G06F17/30
    • G06F17/30342G06F17/30312G06F17/30315G06F17/30336
    • Architecture for handling large data selections with small and substantially constant memory footprints. The architecture facilitates the creation of sets of data objects (e.g., rows) of a data source based on selection of the data objects. The set structures can be defined according to a range (span) of data objects selected and a pattern of the objects selected. These set structures are then saved in memory, rather than the data objects, to provide optimized memory usage. In a database implementation, the solution stores the set representation (the structure) in nearly a constant amount of memory, regardless of the number of rows in the grid, and regardless of the number of rows selected. Memory usage can be proportional to the number of discontinuous spans of rows selected by the user. Structures in memory can be consolidated, replaced, or eliminated dynamically as the user changes row selections and pattern criteria.
    • 用于处理具有小且基本恒定的内存占用空间的大数据选择的架构。 该架构有助于基于数据对象的选择来创建数据源的数据对象集合(例如,行)。 可以根据所选择的数据对象的范围(span)和所选对象的模式来定义集合结构。 然后将这些设置结构保存在内存中,而不是数据对象中,以提供优化的内存使用。 在数据库实现中,解决方案将集合表示(结构)存储在几乎恒定的内存量中,而不管网格中的行数如何,而不考虑所选行数。 内存使用量可以与用户选择的不连续行数成正比。 随着用户更改行选择和模式标准,内存中的结构可以动态合并,替换或消除。
    • 9. 发明申请
    • METADATA-BASED APPLICATION DEPLOYMENT
    • 基于元数据的应用部署
    • US20090006409A1
    • 2009-01-01
    • US11771425
    • 2007-06-29
    • Xiaohong Mark YangRandy DongJeffrey WangRou-Peng Huang
    • Xiaohong Mark YangRandy DongJeffrey WangRou-Peng Huang
    • G06F17/30G06F3/01
    • G06F8/20
    • Computer-implemented methods, computer-readable media, and an application system are disclosed for creating and deploying metadata-generated applications. Access is provided to one or more type libraries that each include one or more defined object types configurable for use in generating the application. The defined object types include data structure types, rule types, and data types. Input is elicited from a user regarding desired content and function of the application. Based on the user input, metadata is generated to adapt the defined object types to generate the application. Metadata is generated to adapt the defined data structure types to create one or more application databases, to adapt the defined rule types to create one or more application behaviors, and to adapt the defined data types to create one or more application data types.
    • 公开了计算机实现的方法,计算机可读介质和应用系统,用于创建和部署元数据生成的应用。 访问被提供给一个或多个类型库,每个类型库包括可配置用于生成应用程序的一个或多个定义的对象类型。 定义的对象类型包括数据结构类型,规则类型和数据类型。 用户从应用程序的所需内容和功能中引出输入。 基于用户输入,生成元数据以适应所定义的对象类型以生成应用。 生成元数据以适应定义的数据结构类型以创建一个或多个应用数据库,以适应所定义的规则类型以创建一个或多个应用行为,并使所定义的数据类型适应于创建一个或多个应用数据类型。