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    • 2. 发明申请
    • System and method for rule-based data object matching
    • 用于基于规则的数据对象匹配的系统和方法
    • US20070005543A1
    • 2007-01-04
    • US11120541
    • 2005-05-02
    • Karl FurstAndrea LanglotzDavid BrooklerDave SullivanEugene Chemy
    • Karl FurstAndrea LanglotzDavid BrooklerDave SullivanEugene Chemy
    • G06N5/02
    • G06N5/04
    • Rule based data object matching to determine if two or more objects are similar to allow the objects to be merged into one master data object. The rules explicitly state what conditions are required to consider two or more objects equal. The certainty of the rule may be specified. Examples for the certainty are automatic, manual high, medium and low probability. For example, the certainty “automatic” specifies that the objects can be considered matches and no additional manual verification is needed. The certainty “manual low probability” specifies that there is a low probability that the objects are matches and that a manual verification is needed. Matching rules may be grouped by priority. If matches are not found, the next highest priority group of rules is processed. Hierarchical matching rules may be specified that are able to express similarity of objects considering structured objects containing sub-objects in a hierarchical manner.
    • 基于规则的数据对象匹配,以确定两个或多个对象是否相似,以允许将对象合并到一个主数据对象中。 规则明确地说明了要考虑两个或多个对象相等的条件。 可以规定规则的确定性。 确定性的例子是自动,手动高,中,低概率。 例如,确定性“自动”指定对象可以被认为是匹配,并且不需要额外的手动验证。 确定性“手动低概率”指定对象的匹配概率很低,需要手动验证。 匹配规则可以按优先级分组。 如果没有找到匹配,则处理下一个最高优先级的规则。 可以指定能够以分级方式表示考虑包含子对象的结构化对象的对象的相似性的分层匹配规则。
    • 6. 发明授权
    • Rule-based database object matching with comparison certainty
    • 基于规则的数据库对象匹配与比较确定性
    • US07644055B2
    • 2010-01-05
    • US11120541
    • 2005-05-02
    • Karl FürstAndrea LanglotzDavid BrooklerDave SullivanEugene Chemy
    • Karl FürstAndrea LanglotzDavid BrooklerDave SullivanEugene Chemy
    • G06N5/02G06N5/00
    • G06N5/04
    • Rule based data object matching to determine if two or more objects are similar to allow the objects to be merged into one master data object. The rules explicitly state what conditions are required to consider two or more objects equal. The certainty of the rule may be specified. Examples for the certainty are automatic, manual high, medium and low probability. For example, the certainty “automatic” specifies that the objects can be considered matches and no additional manual verification is needed. The certainty “manual low probability” specifies that there is a low probability that the objects are matches and that a manual verification is needed. Matching rules may be grouped by priority. If matches are not found, the next highest priority group of rules is processed. Hierarchical matching rules may be specified that are able to express similarity of objects considering structured objects containing sub-objects in a hierarchical manner.
    • 基于规则的数据对象匹配,以确定两个或多个对象是否相似,以允许将对象合并到一个主数据对象中。 规则明确地说明了要考虑两个或多个对象相等的条件。 可以规定规则的确定性。 确定性的例子是自动,手动高,中,低概率。 例如,确定性“自动”指定对象可以被认为是匹配,并且不需要额外的手动验证。 确定性“手动低概率”指定对象的匹配概率很低,需要手动验证。 匹配规则可以按优先级分组。 如果没有找到匹配,则处理下一个最高优先级的规则。 可以指定能够以分级方式表示考虑包含子对象的结构化对象的对象的相似性的分层匹配规则。