Discovering a reporting model from an existing reporting environment
    31.
    发明授权
    Discovering a reporting model from an existing reporting environment 有权
    从现有的报告环境中发现报告模型

    公开(公告)号:US09582782B2

    公开(公告)日:2017-02-28

    申请号:US13438903

    申请日:2012-04-04

    IPC分类号: G06T1/00 G06Q10/06

    CPC分类号: G06Q10/0639

    摘要: Computer software is disclosed for discovering and representing a reporting model of an existing reporting environment. For each report in a plurality of reports, the software searches metadata of the report for descriptive information and dependencies on other reports. The software depicts, in a graphical representation, each report and relationships between the reports.

    摘要翻译: 公开了用于发现和表示现有报告环境的报告模型的计算机软件。 对于多个报告中的每个报告,软件会搜索报告的元数据以获取描述性信息和依赖于其他报告。 该软件以图形表示描述了每个报告和报告之间的关系。

    System and method for extraction of factoids from textual repositories
    32.
    发明授权
    System and method for extraction of factoids from textual repositories 失效
    从文本库中提取事实的系统和方法

    公开(公告)号:US08706730B2

    公开(公告)日:2014-04-22

    申请号:US11321177

    申请日:2005-12-29

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864 G06F17/30705

    摘要: A method (400) is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method (400) starts by training a classifier (230) to recognize factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected (410) from the text repositories. Sentences having a predetermined association to the given factoid category is extracted (420) from the documents or said document summaries. Those sentences are classified (440), in a noisy environment, using the classifier (230) to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.

    摘要翻译: 公开了一种从文本存储库中提取事实框架的方法(400),其中事实框架与给定的类别类别相关联。 方法(400)通过训练分类器(230)开始,以识别与该给定的类别类别相关的因子。 接下来从文本存储库收集与文件类型相关的文档或文档摘要(410)。 具有与给定类别类别的预定关联的句子从文档或所述文档摘要中提取(420)。 这些句子在嘈杂的环境中被分类(440),使用分类器(230)提取包含与给定类别类别相关的短语的片段。 提取的片段是与给定类实体类别相关联的实例。