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    • 1. 发明授权
    • Automatic extraction of semantics from text information
    • 从文本信息中自动提取语义
    • US07899804B2
    • 2011-03-01
    • US11847848
    • 2007-08-30
    • Mor NaamanTye RattenburyNathaniel Good
    • Mor NaamanTye RattenburyNathaniel Good
    • G06F7/00
    • G06F17/30731
    • The present invention provides systems, methods and computer program products for extracting semantic information from text data having metadata associated therewith. A method according to an embodiment of the present invention includes selecting an ordered set of scale values for a plurality of scales and, for each of the scale values, determining one or more subset of metadata information related to the scale value. For each of the scales and associated subsets, a statistic on occurrences of content associated with the metadata in each subset is determined and the statistics are aggregated for each scale and associated subsets to determine a semantic level for the content. The scales and associated subsets having content with a semantic level above a threshold may be determined to extract semantic information across multiple time frames with the ordered set of scale values for the plurality of scales.
    • 本发明提供了用于从具有与其相关联的元数据的文本数据中提取语义信息的系统,方法和计算机程序产品。 根据本发明的实施例的方法包括:选择用于多个量表的有序的比例值集合,并且对于每个比例值,确定与比例值相关的元数据信息的一个或多个子集。 对于每个量表和相关子集,确定与每个子集中的元数据相关联的内容的出现的统计量,并且针对每个比例和相关联的子集聚合统计信息,以确定内容的语义级别。 可以确定具有高于阈值的语义级别的内容的比例尺和相关子集,以利用多个比例的有序的比例值集来跨多个时间帧提取语义信息。
    • 2. 发明申请
    • AUTOMATIC EXTRACTION OF SEMANTICS FROM TEXT INFORMATION
    • 从文本信息自动提取语法
    • US20090063536A1
    • 2009-03-05
    • US11847848
    • 2007-08-30
    • Mor NaamanTye RattenburyNathaniel Good
    • Mor NaamanTye RattenburyNathaniel Good
    • G06F17/30
    • G06F17/30731
    • The present invention provides systems, methods and computer program products for extracting semantic information from text data having metadata associated therewith. A method according to an embodiment of the present invention includes selecting an ordered set of scale values for a plurality of scales and, for each of the scale values, determining one or more subset of metadata information related to the scale value. For each of the scales and associated subsets, a statistic on occurrences of content associated with the metadata in each subset is determined and the statistics are aggregated for each scale and associated subsets to determine a semantic level for the content. The scales and associated subsets having content with a semantic level above a threshold may be determined to extract semantic information across multiple time frames with the ordered set of scale values for the plurality of scales.
    • 本发明提供了用于从具有与其相关联的元数据的文本数据中提取语义信息的系统,方法和计算机程序产品。 根据本发明的实施例的方法包括:选择用于多个量表的有序的比例值集合,并且对于每个比例值,确定与比例值相关的元数据信息的一个或多个子集。 对于每个量表和相关子集,确定与每个子集中的元数据相关联的内容的出现的统计量,并且针对每个比例和相关联的子集聚合统计信息,以确定内容的语义级别。 可以确定具有高于阈值的语义级别的内容的比例尺和相关子集,以利用多个比例的有序的比例值集来跨多个时间帧提取语义信息。
    • 4. 发明申请
    • AUTOMATIC EXTRACTION OF SEMANTICS FROM TEXT INFORMATION
    • 从文本信息自动提取语法
    • US20110125761A1
    • 2011-05-26
    • US13014874
    • 2011-01-27
    • Mor NaamanTye RattenburyNathaniel Good
    • Mor NaamanTye RattenburyNathaniel Good
    • G06F17/30
    • G06F17/30731
    • The present invention provides systems, methods and computer program products for extracting semantic information from text data having metadata associated therewith. A method according to an embodiment of the present invention includes selecting an ordered set of scale values for a plurality of scales and, for each of the scale values, determining one or more subset of metadata information related to the scale value. For each of the scales and associated subsets, a statistic on occurrences of content associated with the metadata in each subset is determined and the statistics are aggregated for each scale and associated subsets to determine a semantic level for the content. The scales and associated subsets having content with a semantic level above a threshold may be determined to extract semantic information across multiple time frames with the ordered set of scale values for the plurality of scales.
    • 本发明提供了用于从具有与其相关联的元数据的文本数据中提取语义信息的系统,方法和计算机程序产品。 根据本发明的实施例的方法包括:选择用于多个量表的有序的比例值集合,并且对于每个比例值,确定与比例值相关的元数据信息的一个或多个子集。 对于每个量表和相关子集,确定与每个子集中的元数据相关联的内容的出现的统计量,并且针对每个比例和相关联的子集聚合统计信息,以确定内容的语义级别。 可以确定具有高于阈值的语义级别的内容的比例尺和相关子集,以利用多个比例的有序的比例值集来跨多个时间帧提取语义信息。