System and method for control and simulation
    1.
    发明授权
    System and method for control and simulation 有权
    用于控制和仿真的系统和方法

    公开(公告)号:US06944584B1

    公开(公告)日:2005-09-13

    申请号:US09549268

    申请日:2000-04-14

    IPC分类号: G06F17/50 G06F19/00

    摘要: A system that controls devices and integrally simulates the controlled motion of devices. The control and simulation system allows simultaneous development hardware and software in controlled device installations and increase operational ease-of-use and diagnostic capabilities. The control and three dimensional simulation system also allows client computers to remotely control the system and other devices connected to a network.

    摘要翻译: 控制设备并整体模拟设备受控运动的系统。 控制和仿真系统允许在受控设备安装中同时开发硬件和软件,并增加操作易用性和诊断功能。 控制和三维模拟系统还允许客户端计算机远程控制系统和连接到网络的其他设备。

    EXTRACTION OF DATAPOINTS FROM MARKUP LANGUAGE DOCUMENTS
    2.
    发明申请
    EXTRACTION OF DATAPOINTS FROM MARKUP LANGUAGE DOCUMENTS 有权
    从MARKUP语言文件中提取数据

    公开(公告)号:US20100107055A1

    公开(公告)日:2010-04-29

    申请号:US12683190

    申请日:2010-01-06

    IPC分类号: G06F17/00

    CPC分类号: G06F17/30899 G06F17/30719

    摘要: An extraction-rule generation and training system uses information obtained from multiple markup language documents (e.g. web pages) of similar structure to generate an extraction rule for extracting datapoints from markup language documents. Where the structures of two or more documents are not sufficiently similar, the system maintains separate extraction rules for the same datapoint, and applies these separate extraction rules in combination to particular markup language documents to extract the datapoint.

    摘要翻译: 提取规则生成和训练系统使用从具有类似结构的多个标记语言文档(例如网页)获得的信息,以生成从标记语言文档中提取数据点的提取规则。 在两个或多个文档的结构不完全相似的情况下,系统为相同的数据点维护单独的提取规则,并将这些单独的提取规则组合应用于特定的标记语言文档以提取数据点。

    Extraction of datapoints from markup language documents
    3.
    发明授权
    Extraction of datapoints from markup language documents 有权
    从标记语言文档中提取数据点

    公开(公告)号:US07954053B2

    公开(公告)日:2011-05-31

    申请号:US12683190

    申请日:2010-01-06

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30899 G06F17/30719

    摘要: An extraction-rule generation and training system uses information obtained from multiple markup language documents (e.g. web pages) of similar structure to generate an extraction rule for extracting datapoints from markup language documents. Where the structures of two or more documents are not sufficiently similar, the system maintains separate extraction rules for the same datapoint, and applies these separate extraction rules in combination to particular markup language documents to extract the datapoint.

    摘要翻译: 提取规则生成和训练系统使用从具有类似结构的多个标记语言文档(例如网页)获得的信息,以生成从标记语言文档中提取数据点的提取规则。 在两个或多个文档的结构不完全相似的情况下,系统为相同的数据点维护单独的提取规则,并将这些单独的提取规则组合应用于特定的标记语言文档以提取数据点。

    Correlation-based information extraction from markup language documents
    4.
    发明授权
    Correlation-based information extraction from markup language documents 有权
    从标记语言文档中提取相关信息

    公开(公告)号:US07669119B1

    公开(公告)日:2010-02-23

    申请号:US11335993

    申请日:2006-01-20

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30899 G06F17/30719

    摘要: An extraction-rule generation and training system uses information obtained from multiple markup language documents (e.g. web pages) of similar structure to generate an extraction rule for extracting datapoints from markup language documents. By using information extracted from multiple documents of similar structure, including information regarding correlations between such documents, the method produces data extraction rules that provide improved datapoint extraction reliability. Where the structures of two or more documents are not sufficiently similar, the system maintains separate extraction rules for the same datapoint, and applies these separate extraction rules in combination to particular markup language documents to extract the datapoint.

    摘要翻译: 提取规则生成和训练系统使用从具有类似结构的多个标记语言文档(例如网页)获得的信息,以生成从标记语言文档中提取数据点的提取规则。 通过使用从相似结构的多个文档提取的信息,包括关于这些文档之间的相关性的信息,该方法产生提供改进的数据点提取可靠性的数据提取规则。 在两个或多个文档的结构不完全相似的情况下,系统为相同的数据点维护单独的提取规则,并将这些单独的提取规则组合应用于特定的标记语言文档以提取数据点。