Schema and ETL tools for structured and unstructured data
    2.
    发明申请
    Schema and ETL tools for structured and unstructured data 有权
    用于结构化和非结构化数据的模式和ETL工具

    公开(公告)号:US20070011175A1

    公开(公告)日:2007-01-11

    申请号:US11172956

    申请日:2005-07-05

    CPC classification number: G06F17/30563 G06F17/30569 Y10S707/912

    Abstract: A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

    Abstract translation: 使非结构化数据可用于结构化数据分析工具的系统和方法。 该系统包括可与结构化数据工具结合使用的中间件软件,以对结构化和非结构化数据进行分析。 数据可以从各种非结构化来源读取。 然后可以用商业数据转换产品来转换数据,商业数据转换产品可以例如提取单个数据片段并确定提取的数据之间的关系。 然后,转换的数据和关系可以通过提取/变换/加载(ETL)层传递并放置在结构化模式中。 然后可以将结构化模式提供给商业或专有结构化数据分析工具。

    System and method for automatic, real-time delivery of personalized informational and transactional data to users via high throughput content delivery device
    4.
    发明授权
    System and method for automatic, real-time delivery of personalized informational and transactional data to users via high throughput content delivery device 有权
    通过高吞吐量内容传送设备自动,实时地向用户传送个性化信息和事务数据的系统和方法

    公开(公告)号:US06671715B1

    公开(公告)日:2003-12-30

    申请号:US09488923

    申请日:2000-01-21

    Abstract: A delivery system for a personal intelligence network that actively delivers highly personalized and timely informational and transactional data collects and distributes e-mail and other content from a hub-and-spoke style source architecture, with a control server managing a set of output servers. The output servers may transmit messages of topical interest to a subset of the subscribers, concurrently. The content may be generated by an OLAP based channel database system, and the output may also be communicated to individuals via spreadsheet programs data, pager, telephone, mobile phone, fax, personal digital assistants, HTML e-mail, WAP and other formats.

    Abstract translation: 用于个人智能网络的传送系统,其主动提供高度个性化和及时的信息和事务数据,从中心辐射式源代码架构收集和分发电子邮件和其他内容,以及管理一组输出服务器的控制服务器。 输出服务器可以同时向用户的子集发送主题感兴趣的消息。 内容可以由基于OLAP的频道数据库系统生成,并且还可以通过电子表格程序数据,寻呼机,电话,移动电话,传真,个人数字助理,HTML电子邮件,WAP和其他格式将输出传送给个人。

    System and method for information warehousing supporting the automatic, real-time delivery of personalized informational and transactional data to users via content delivery device
    5.
    发明授权
    System and method for information warehousing supporting the automatic, real-time delivery of personalized informational and transactional data to users via content delivery device 有权
    用于信息仓储的系统和方法,支持通过内容传送设备自动实时提供个性化信息和事务数据给用户

    公开(公告)号:US06662195B1

    公开(公告)日:2003-12-09

    申请号:US09488565

    申请日:2000-01-21

    CPC classification number: G06F17/30592 Y10S707/99945

    Abstract: A data warehousing system stores the raw data population for an underlying delivery system for a personal intelligence network that actively delivers highly personalized and timely informational and transactional data collects and distributes e-mail and other content from a hub-and-spoke style source architecture. The architecture of the data storage system includes a data distribution depository warehousing the raw data, and a data distribution control server monitoring the state of the data for fault and other conditions. For instance, data may revert to the next-most recent state when a corruption is detected. Furthermore, data may be collected continuously but the data image of the repository may be frozen during subscriber inquiries, to avoid inconsistent output.

    Abstract translation: 数据仓库系统存储用于个人智能网络的基础交付系统的原始数据总体,其主动提供高度个性化和及时的信息和事务数据,从中心辐射样式源架构收集和分发电子邮件和其他内容。 数据存储系统的架构包括存储原始数据的数据分配存储库,以及数据分配控制服务器监视故障状态和其他状况。 例如,当检测到损坏时,数据可能会恢复到下一个最新状态。 此外,可以连续地收集数据,但是可以在用户查询期间冻结存储库的数据图像,以避免不一致的输出。

    System and method of making unstructured data available to structured data analysis tools
    6.
    发明授权
    System and method of making unstructured data available to structured data analysis tools 有权
    使非结构化数据可用于结构化数据分析工具的系统和方法

    公开(公告)号:US07849048B2

    公开(公告)日:2010-12-07

    申请号:US11172955

    申请日:2005-07-05

    CPC classification number: G06F17/30563 G06F17/30569 Y10S707/912

    Abstract: A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

    Abstract translation: 使非结构化数据可用于结构化数据分析工具的系统和方法。 该系统包括可与结构化数据工具结合使用的中间件软件,以对结构化和非结构化数据进行分析。 数据可以从各种非结构化来源读取。 然后可以用商业数据转换产品来转换数据,商业数据转换产品可以例如提取单个数据片段并确定提取的数据之间的关系。 然后,转换的数据和关系可以通过提取/变换/加载(ETL)层传递并放置在结构化模式中。 然后可以将结构化模式提供给商业或专有结构化数据分析工具。

    System and method for revenue generation in an automatic, real-time delivery of personalized informational and transactional data
    9.
    发明授权
    System and method for revenue generation in an automatic, real-time delivery of personalized informational and transactional data 有权
    自动实时提供个性化信息和交易数据的收入生成系统和方法

    公开(公告)号:US07181417B1

    公开(公告)日:2007-02-20

    申请号:US09488924

    申请日:2000-01-21

    CPC classification number: G06Q10/107 G06Q30/0621

    Abstract: A system and method for generating revenue from a personalized intelligence network which outputs personalized and timely informational and transactional content from an OLAP-based system to individuals through use of a high-speed processing and output delivery system to email, Excel, pager, mobile phone, fax, telephone, personal digital assistants and other output devices. Affiliates may enlist subscribers and receive a share of revenues generated from subscription fees, advertising fees, bundling fees and transaction fees.

    Abstract translation: 一种用于从个性化智能网络产生收入的系统和方法,其通过使用高速处理和输出递送系统将电子邮件,Excel,寻呼机,移动电话从基于OLAP的系统向个人输出个性化且及时的信息和事务内容 ,传真,电话,个人数字助理等输​​出设备。 附属公司可能会招收订阅者,并收到订阅费,广告费,捆绑费和交易费产生的收入份额。

    System and method of making unstructured data available to structured data analysis tools
    10.
    发明申请
    System and method of making unstructured data available to structured data analysis tools 有权
    使非结构化数据可用于结构化数据分析工具的系统和方法

    公开(公告)号:US20070011134A1

    公开(公告)日:2007-01-11

    申请号:US11172955

    申请日:2005-07-05

    CPC classification number: G06F17/30563 G06F17/30569 Y10S707/912

    Abstract: A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

    Abstract translation: 使非结构化数据可用于结构化数据分析工具的系统和方法。 该系统包括可与结构化数据工具结合使用的中间件软件,以对结构化和非结构化数据进行分析。 数据可以从各种非结构化来源读取。 然后可以用商业数据转换产品来转换数据,商业数据转换产品可以例如提取单个数据片段并确定提取的数据之间的关系。 然后,转换的数据和关系可以通过提取/变换/加载(ETL)层传递并放置在结构化模式中。 然后可以将结构化模式提供给商业或专有结构化数据分析工具。

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