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    • 8. 发明授权
    • Method for performing expression-based validation
    • 执行基于表达式验证的方法
    • US07734625B2
    • 2010-06-08
    • US11193013
    • 2005-07-29
    • Paul N. WeinbergRichard T. EndoWenphing Lo
    • Paul N. WeinbergRichard T. EndoWenphing Lo
    • G06F17/30
    • G06F17/3051G06F17/30398
    • A method for performing expression-based validation with records in a computer system database, eliminating the need to write programs or scripts. A validation expression can define complex intra-record tests and inter-record tests and may be performed manually against one or more records and have a success or failure indicated for each record in an interface. A validation expression may be placed into one or more groups and performed as a group with the success or failure indicated for each record. A validation expression may be initiated from workflows to implement a business process with system-enforced data integrity. A validation expression may be manually executed or automatically executed when attempting record update to prevent the entry of invalid data and ensure data integrity. A validation expression may also be used to search using the Boolean result of validation expressions.
    • 使用计算机系统数据库中的记录执行基于表达式的验证的方法,无需编写程序或脚本。 验证表达式可以定义复杂的记录内测试和记录间测试,并且可以针对一个或多个记录手动执行,并且在接口中为每个记录指示成功或失败。 验证表达式可以被放置到一个或多个组中并且作为一个组执行,其中针对每个记录指示成功或失败。 验证表达式可以从工作流启动,以实现具有系统强制数据完整性的业务流程。 当尝试记录更新以防止输入无效数据并确保数据完整性时,验证表达式可以手动执行或自动执行。 验证表达式也可以用于使用验证表达式的布尔结果进行搜索。
    • 10. 发明授权
    • Method and apparatus for matching non-normalized data values
    • 用于匹配非归一化数据值的方法和装置
    • US07672942B2
    • 2010-03-02
    • US11831793
    • 2007-07-31
    • Paul N. WeinbergRichard T. EndoPhilip A. TinariRonen CohenAnat Levi SegalAriel Hazi
    • Paul N. WeinbergRichard T. EndoPhilip A. TinariRonen CohenAnat Levi SegalAriel Hazi
    • G06F7/00
    • G06F17/30495G06F17/30489G06F17/30533Y10S707/99936
    • Enables locating and merging potential data record matches. Enables locating duplicates through the definition of matching strategies. Each strategy may include transformations, matching rules and scoring thresholds to implement fuzzy matches that match closely related data records that are not exact matches. Performing a search allows for narrowing down the records to a desired set on which to apply a given matching strategy. Merging is performed on the potential duplicates thus located to consolidate data and remove duplicates. By narrowing down the records to a closely related set via a search, merging is simplified to work on a small number of closely related records, thus simplifying the process. The total matching score obtained via execution of match strategies may be utilized to determine which potential record(s) to merge for example. May utilize past user input to provide intelligent inputs for rules, tokens, weights, fields, parameters or any other past user input.
    • 启用定位和合并潜在的数据记录匹配。 通过定义匹配策略来定位重复项。 每个策略可以包括转换,匹配规则和评分阈值,以实现与紧密相关的不完全匹配的数据记录匹配的模糊匹配。 执行搜索可以将记录缩小到要应用给定匹配策略的所需集。 对所定位的潜在重复项进行合并,以整合数据并删除重复的数据。 通过搜索将记录缩小到一个密切相关的集合,合并简化为少量密切相关记录的工作,从而简化了流程。 通过执行匹配策略获得的总匹配分数可以用于确定例如合并哪个潜在记录。 可以利用过去的用户输入为规则,令牌,权重,字段,参数或任何其他过去的用户输入提供智能输入。