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    • 6. 发明申请
    • System and method for selecting object metadata evolving over time
    • 随着时间的推移,用于选择对象元数据的系统和方法
    • US20070271270A1
    • 2007-11-22
    • US11437425
    • 2006-05-19
    • Micah Joel DubinkoShanmugasundaram RavikumarJoseph Andrew MagnaniJasmine NovakPrabhakar RaghavanAndrew Tomkins
    • Micah Joel DubinkoShanmugasundaram RavikumarJoseph Andrew MagnaniJasmine NovakPrabhakar RaghavanAndrew Tomkins
    • G06F7/00
    • G06F17/30864
    • An improved system and method for selecting and visualizing object metadata evolving over time is provided. An application may generate a visualization depicting the temporal evolution of metadata describing objects in an object store over a plurality of time intervals. The application may switch between a visualization of object metadata flowing like a river or cascading like a waterfall over time. A ranked list of metadata items may be determined for some pre-selected intervals during a pre-processing step. Then at runtime when a request may be received for providing a ranked list of metadata items for a query interval, a combination of time intervals from the pre-selected time intervals may be determined that cover the query time interval, and the ranked lists of metadata items for each time interval in the combination of time intervals that cover the query time interval may be aggregated and output for visualization.
    • 提供了一种改进的系统和方法,用于随着时间的推移来选择和可视化对象元数据。 应用可以生成描绘在多个时间间隔中描述对象存储中的对象的元数据的时间演变的可视化。 应用程序可以在像河流一样流动的对象元数据的可视化或瀑布之间随着时间的流逝而进行切换。 可以在预处理步骤期间为某些预选间隔确定元数据项目的排名列表。 然后在运行时,当可以接收到用于为查询间隔提供元数据项的排序列表的请求时,可以确定来自预先选择的时间间隔的时间间隔的组合,其覆盖查询时间间隔,并且排列的元数据列表 涵盖查询时间间隔的时间间隔组合的每个时间间隔的项目可以被聚合并输出以用于可视化。
    • 7. 发明申请
    • Extracting informative phrases from unstructured text
    • 从非结构化文本中提取信息短语
    • US20070067289A1
    • 2007-03-22
    • US11231075
    • 2005-09-20
    • Jasmine Novak
    • Jasmine Novak
    • G06F17/30
    • G06F17/30696G06F17/2775G06F17/30719
    • Disclosed is a method of extracting informative phrases from a full corpus of documents. An index of phrases contained in the full corpus of documents is built. Then, a user specifies a subset of text to analyze. The subset may be defined as: (1) all paragraphs or sentences containing terms selected as defining a subject; (2) all documents in a category; (3) all documents written within a date range; and/or (3) all documents matching a Boolean query of terms. Once the subset is specified, it is analyzed to extract informative phrases. Specifically, the index is queried to retrieve all phrases within the subset. The number of times each of the phases occurs in the subset and in the corpus is counted. Each phrase contained in the subset is scored according to informativeness based on a comparison of a likelihood that the phrase occurs in the subset and a likelihood that the phrase occurs in the corpus as a whole. Only those phrases having an informativeness score above a predetermined value are considered highly informative and extracted.
    • 公开了一种从全文的文档中提取信息性短语的方法。 建立了文件全集中包含的短语索引。 然后,用户指定要分析的文本的子集。 该子集可以定义为:(1)包含选定为定义主题的术语的所有段落或句子; (2)类别中的所有文件; (3)在日期范围内编写的所有文件; 和/或(3)所有符合条件的布尔查询的文档。 一旦子集被指定,就会对其进行分析以提取信息性短语。 具体来说,查询索引以检索子集内的所有短语。 每个阶段发生在子集和语料库中的次数被计数。 基于在短语发生在子集中的可能性与该短语出现在语料库中作为整体的可能性的比较,根据信息性对包含在该子集中的每个短语进行评分。 只有具有高于预定值的信息分数的那些短语被认为是高度信息和提取的。