Methods and apparatuses for cross-ontologial analytics
    2.
    发明申请
    Methods and apparatuses for cross-ontologial analytics 有权
    交叉本体分析的方法和装置

    公开(公告)号:US20080025617A1

    公开(公告)日:2008-01-31

    申请号:US11493503

    申请日:2006-07-25

    IPC分类号: G06K9/62

    摘要: Methods and apparatuses for quantifying the similarity between nodes in a plurality of electronic classification schemes are disclosed according to some aspects. In one embodiment, quantification of the similarity between a first node in a first electronic classification scheme and a second node in a second electronic classification scheme comprises finding a third node among those in the first electronic classification scheme, wherein a first product value of an inter-scheme similarity value between the second and third nodes and an intra-scheme similarity value between the first and third nodes is a maximum. It further comprises finding a fourth node among those in the second electronic classification scheme, wherein a second product value of an inter-scheme similarity value between the first and fourth nodes and an intra-scheme similarity value between the second and fourth nodes is a maximum. The maximum between the first and second product values represents a measure of similarity between the first and second nodes.

    摘要翻译: 根据一些方面公开了用于量化多个电子分类方案中的节点之间的相似性的方法和装置。 在一个实施例中,在第一电子分类方案中的第一节点与第二电子分类方案中的第二节点之间的相似度的量化包括在第一电子分类方案中找到第三节点之间的第三节点,其中, 第二节点和第三节点之间的节目相似度值和第一节点与第三节点之间的方案间相似度值是最大的。 其还包括在第二电子分类方案中找到第四节点,其中第一和第四节点之间的方案间相似度值的第二乘积值与第二和第四节点之间的方案间相似度值是最大值 。 第一和第二乘积值之间的最大值表示第一和第二节点之间的相似性度量。

    Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture
    3.
    发明授权
    Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture 有权
    定义本体,消除消歧方法,计算机系统和制造品的方法

    公开(公告)号:US08036876B2

    公开(公告)日:2011-10-11

    申请号:US11267370

    申请日:2005-11-04

    IPC分类号: G06F17/28 G06F17/21

    CPC分类号: G06F17/2785 G06F17/30734

    摘要: Methods of defining ontologies, word disambiguation methods, computer systems, and articles of manufacture are described according to some aspects. In one aspect, a word disambiguation method includes accessing textual content to be disambiguated, wherein the textual content comprises a plurality of words individually comprising a plurality of word senses, for an individual word of the textual content, identifying one of the word senses of the word as indicative of the meaning of the word in the textual content, for the individual word, selecting one of a plurality of event classes of a lexical database ontology using the identified word sense of the individual word, and for the individual word, associating the selected one of the event classes with the textual content to provide disambiguation of a meaning of the individual word in the textual content.

    摘要翻译: 根据一些方面描述定义本体,消除消歧方法,计算机系统和制品的方法。 在一个方面,一种消除歧义的方法包括访问要消除歧义的文本内容,其中文本内容包括单独包含多个单词感觉的多个单词,对于文本内容的单个单词,识别文本内容的单词感觉 字表示文本内容中单词的含义,对于单词,使用所识别的单词的单词感觉选择词汇数据库本体的多个事件类中的一个,并且对于单个词,将单词相关联 选择具有文本内容的事件类之一,以提供对文本内容中单个词的含义的歧义。

    Cross-ontological analytics for alignment of different classification schemes
    4.
    发明授权
    Cross-ontological analytics for alignment of different classification schemes 有权
    跨本体分析用于校准不同的分类方案

    公开(公告)号:US07805010B2

    公开(公告)日:2010-09-28

    申请号:US11493503

    申请日:2006-07-25

    IPC分类号: G06K9/62

    摘要: Quantification of the similarity between nodes in multiple electronic classification schemes is provided by automatically identifying relationships and similarities between nodes within and across the electronic classification schemes. Quantifying the similarity between a first node in a first electronic classification scheme and a second node in a second electronic classification scheme involves finding a third node in the first electronic classification scheme, wherein a first product value of an inter-scheme similarity value between the second and third nodes and an intra-scheme similarity value between the first and third nodes is a maximum. A fourth node in the second electronic classification scheme can be found, wherein a second product value of an inter-scheme similarity value between the first and fourth nodes and an intra-scheme similarity value between the second and fourth nodes is a maximum. The maximum between the first and second product values represents a measure of similarity between the first and second nodes.

    摘要翻译: 通过自动识别电子分类方案内和之间的节点之间的关系和相似性,提供了多种电子分类方案中节点之间相似性的量化。 量化第一电子分类方案中的第一节点与第二电子分类方案中的第二节点之间的相似度涉及在第一电子分类方案中找到第三节点,其中第二电子分类方案之间的方案间相似性值的第一乘积值 并且第三节点和第一和第三节点之间的方案内相似度值是最大的。 可以找到第二电子分类方案中的第四节点,其中第一和第四节点之间的方案间相似度值的第二乘积值和第二和第四节点之间的方案间相似度值是最大的。 第一和第二乘积值之间的最大值表示第一和第二节点之间的相似性度量。