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    • 1. 发明授权
    • Cross-ontological analytics for alignment of different classification schemes
    • 跨本体分析用于校准不同的分类方案
    • US07805010B2
    • 2010-09-28
    • US11493503
    • 2006-07-25
    • Christian PosseAntonio P SanfilippoBanu GopalanRoderick M RienscheRobert L Baddeley
    • Christian PosseAntonio P SanfilippoBanu GopalanRoderick M RienscheRobert L Baddeley
    • G06K9/62
    • G06K9/62G06F19/24G06F19/28G06K9/6892
    • 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.
    • 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。