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1. 发明授权

US09720971B2 Discovering transformations applied to a source table to generate a target table 有权
公开(公告)号：US09720971B2
公开(公告)日：2017-08-01
申请号：US12165549
申请日：2008-06-30
申请人： Torsten Bittner , Holger Kache , Mary Ann Roth , Yannick Saillet
发明人： Torsten Bittner , Holger Kache , Mary Ann Roth , Yannick Saillet
IPC分类号： G06F17/30
CPC分类号： G06F17/30507
摘要： Provided are a method, system, and article of manufacture for discovering transformations applied to a source table to generate a target table. Selection is made of a source table comprising a plurality of rows and a target table resulting from a transformation applied to the rows of the source table. A first pre-processing method is applied with respect to columns in the source and target tables to produce first category pre-processing output. The first category pre-processing output is used to determine first category transformation rules with respect to at least one source table column and at least one target table column. For each unpredicted target column in the target table not predicted by the determined first category transformation rules, a second pre-processing method is applied to columns in the source table and unpredicted target columns to produce second category pre-processing output. The second category pre-processing output is used to determine second category transformation rules with respect to at least one source table column and at least one target table column.

2. 发明授权

US08401987B2 Managing validation models and rules to apply to data sets 有权
标题翻译：管理验证模型和规则以应用于数据集
公开(公告)号：US08401987B2
公开(公告)日：2013-03-19
申请号：US11779251
申请日：2007-07-17
申请人： Geetika Agrawal , Jacques Joseph Labrie , Mary Ann Roth , Yannick Saillet
发明人： Geetika Agrawal , Jacques Joseph Labrie , Mary Ann Roth , Yannick Saillet
IPC分类号： G06N5/00
CPC分类号： G06F17/30595 , G06F17/30371 , G06N5/02
摘要： Provided are a method, system, and article of manufacture for managing validation models and rules to apply to data sets. A schema definition describing a structure of at least one column in a first data set having a plurality of columns and records providing data for each of the columns is received. At least one model is generated, wherein each model asserts conditions for at least one column in a record of the first data set. The schema definition and the at least one model are stored in a data quality model. Selection is received of a second data set and the data quality model. A determination is made as to whether a structure of the second data set is compatible with the schema definition in the selected data quality model. Each model in the data quality model is applied to the records in the second data set to validate the records in the second data set in response to determining that the structure of the second data set and the schema definition are compatible.
摘要翻译：提供了一种用于管理验证模型和规则以应用于数据集的方法，系统和制品。接收描述具有多个列的第一数据集中的至少一列的结构的模式定义和为每个列提供数据的记录。生成至少一个模型，其中每个模型为第一数据集的记录中的至少一列确定条件。模式定义和至少一个模型存储在数据质量模型中。接收到第二数据集和数据质量模型的选择。确定第二数据集的结构是否与所选数据质量模型中的模式定义兼容。数据质量模型中的每个模型被应用于第二数据集中的记录，以响应于确定第二数据集的结构和模式定义是兼容的来验证第二数据集中的记录。

3. 发明申请

US20090327208A1 DISCOVERING TRANSFORMATIONS APPLIED TO A SOURCE TABLE TO GENERATE A TARGET TABLE 有权
标题翻译：发现适用于源表的变换以产生目标表
公开(公告)号：US20090327208A1
公开(公告)日：2009-12-31
申请号：US12165549
申请日：2008-06-30
申请人： Torsten Bittner , Holger Kache , Mary Ann Roth , Yannick Saillet
发明人： Torsten Bittner , Holger Kache , Mary Ann Roth , Yannick Saillet
IPC分类号： G06N5/04
CPC分类号： G06F17/30507
摘要： Provided are a method, system, and article of manufacture for discovering transformations applied to a source table to generate a target table. Selection is made of a source table comprising a plurality of rows and a target table resulting from a transformation applied to the rows of the source table. A first pre-processing method is applied with respect to columns in the source and target tables to produce first category pre-processing output. The first category pre-processing output is used to determine first category transformation rules with respect to at least one source table column and at least one target table column. For each unpredicted target column in the target table not predicted by the determined first category transformation rules, a second pre-processing method is applied to columns in the source table and unpredicted target columns to produce second category pre-processing output. The second category pre-processing output is used to determine second category transformation rules with respect to at least one source table column and at least one target table column.
摘要翻译：提供了用于发现应用于源表以生成目标表的变换的方法，系统和制品。选择包括多个行的源表和由应用于源表的行的变换产生的目标表。对源表和目标表中的列应用第一预处理方法以产生第一类预处理输出。第一类预处理输出用于确定关于至少一个源表列和至少一个目标表列的第一类转换规则。对于目标表中未被确定的第一类别变换规则预测的每个未预测的目标列，将第二预处理方法应用于源表中的列和不可预测的目标列以产生第二类预处理输出。第二类预处理输出用于确定关于至少一个源表列和至少一个目标表列的第二类转换规则。

4. 发明授权

US07519606B2 Schema mapping specification framework 失效
标题翻译：模式映射规范框架
公开(公告)号：US07519606B2
公开(公告)日：2009-04-14
申请号：US11343503
申请日：2006-01-31
申请人： Mauricio Antonio Hernandez-Sherrington , Lucian Popa , Mary Ann Roth , Craig Salter
发明人： Mauricio Antonio Hernandez-Sherrington , Lucian Popa , Mary Ann Roth , Craig Salter
IPC分类号： G06F7/00
CPC分类号： G06F17/218 , G06F17/30569 , G06F17/30914
摘要： A method and system for specifying, in a schema mapping framework, a mapping between a source schema and a target schema. The source and target schemas are schemas included in respective groups of registered, heterogeneous schemas. The source and target schemas may be of different types. Serialized versions of the source and target schemas include source objects and target objects, respectively. A mapping model is serialized into mapping objects that include logical references representing the source objects and logical references representing the target objects. The logical references are resolved to the source objects and target objects, thereby storing pointers to the source objects and to the target objects. After resolving the logical references, the mapping model includes the logical references and the pointers to the source and target objects.
摘要翻译：在模式映射框架中指定源模式和目标模式之间的映射的方法和系统。源和目标模式是包括在注册的，异构模式的相应组中的模式。源和目标模式可能有不同的类型。源和目标模式的序列化版本分别包括源对象和目标对象。将映射模型序列化为映射对象，其中包含表示源对象的逻辑引用和表示目标对象的逻辑引用。逻辑引用被解析为源对象和目标对象，从而存储指向源对象和目标对象的指针。在解析逻辑引用之后，映射模型包括逻辑引用和指向源对象和目标对象的指针。

5. 发明授权

US07437741B2 Method, system, and program for invoking methods between computer languages 有权
标题翻译：用于在计算机语言之间调用方法的方法，系统和程序
公开(公告)号：US07437741B2
公开(公告)日：2008-10-14
申请号：US10795644
申请日：2004-03-08
申请人： Valer-Alin Crisan , Mary Ann Roth
发明人： Valer-Alin Crisan , Mary Ann Roth
IPC分类号： G06F13/00
CPC分类号： G06F9/548 , G06F9/4484
摘要： Provided are a method, system, and program for invoking methods between computer languages. A plurality of subclasses of a class in a first computer language are instantiated and a plurality of subclasses of a class in a second computer language are instantiated, wherein methods in the subclasses in the second computer language implement functionality of methods in the subclasses in the first computer language. A call is received from an application in the first computer language to one method in the subclasses of the first computer language, wherein the call to the method in the subclass of the first computer language invokes a corresponding method in the subclasses of the second computer language that implements the functionality of the called method in the first computer language.
摘要翻译：提供一种用于在计算机语言之间调用方法的方法，系统和程序。实例化第一计算机语言中的类的多个子类，并且实例化第二计算机语言中的类的多个子类，其中第二计算机语言中的子类中的方法实现第一计算机语言中的子类中的方法的功能电脑语言从第一计算机语言的应用程序接收到第一计算机语言的子类中的一种方法的调用，其中对第一计算机语言的子类中的方法的调用在第二计算机语言的子类中调用相应的方法它以第一种计算机语言实现被叫方法的功能。

6. 发明申请

US20080091690A1 Deriving a Data Model From a Hierarchy Of Related Terms, And Deriving a Hierarchy Of Related Terms From a Data Model 审中-公开
标题翻译：从相关术语的层次推导数据模型，
公开(公告)号：US20080091690A1
公开(公告)日：2008-04-17
申请号：US11549556
申请日：2006-10-13
申请人： Raymond Ellersick , Mary Ann Roth
发明人： Raymond Ellersick , Mary Ann Roth
IPC分类号： G06F7/00
CPC分类号： G06F8/10
摘要： Various embodiments of a method, system and computer program product generate a data model based on a glossary model. The glossary model comprises categories and terms. At least one category of the glossary model comprises at least one term of the terms. The categories have a hierarchical relationship. The categories are mapped to objects of a data model. The terms are mapped to attributes of the data model. The attributes are associated with the objects of the data model, wherein a particular attribute of the attributes is associated with a particular object of the objects that is mapped from a particular category of the categories that comprises a particular term of the terms from which the particular attribute is mapped. The objects are associated in a hierarchical relationship based on the hierarchical relationship of the categories. In other embodiments, a method, system and computer program product generate a glossary model based on a data model.
摘要翻译：方法，系统和计算机程序产品的各种实施例基于词汇表模型生成数据模型。词汇表模型包括类别和术语。术语表模型的至少一个类别包括术语的至少一个术语。类别具有层次关系。类别被映射到数据模型的对象。这些术语被映射到数据模型的属性。这些属性与数据模型的对象相关联，其中属性的特定属性与对象的特定对象相关联，所述对象的特定对象从包括特定术语的类别的特定类别映射，属性被映射。基于类别的层次关系，对象以层次关系关联。在其他实施例中，方法，系统和计算机程序产品基于数据模型生成词汇表模型。

7. 发明授权

US09792351B2 Tolerant and extensible discovery of relationships in data using structural information and data analysis 有权
公开(公告)号：US09792351B2
公开(公告)日：2017-10-17
申请号：US11149851
申请日：2005-06-10
申请人： Mauricio Antonio Hernandez-Sherrington , Ching-Tien Ho , Mary Ann Roth , Lingling Yan
发明人： Mauricio Antonio Hernandez-Sherrington , Ching-Tien Ho , Mary Ann Roth , Lingling Yan
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30604
摘要： Various embodiments of a method, system and article of manufacture to discover relationships among a first set of elements and a second set of elements are provided. At least one metric algorithm is identified based on a metric selection parameter. A raw result is determined based on the at least one metric algorithm, a first specified structural description of the first set of elements and a second specified structural description of the second set of elements. The raw result comprises a plurality of relationship measurements and the raw result is ordered. In some embodiments, a balanced result is produced based on the raw result and a matching strategy algorithm. In other embodiments, the matching strategy algorithm is identified based on a matching strategy selection parameter.

8. 发明授权

US07836004B2 Using data mining algorithms including association rules and tree classifications to discover data rules 有权
标题翻译：使用包括关联规则和树分类的数据挖掘算法来发现数据规则
公开(公告)号：US07836004B2
公开(公告)日：2010-11-16
申请号：US11609307
申请日：2006-12-11
申请人： Mary Ann Roth , Blayne Harold Chard , Yannick Saillet , Harald Clyde Smith
发明人： Mary Ann Roth , Blayne Harold Chard , Yannick Saillet , Harald Clyde Smith
IPC分类号： G06N5/02
CPC分类号： G06F17/30303
摘要： Provided are a method, system, and article of manufacture for using a data mining algorithm to discover data rules. A data set including multiple records is processed to generate data rules for the data set. Each record has a record format including a plurality of fields and each rule provides a predicted condition for one field based on at least one predictor condition in at least one other field. The generated data rules are provided to a user interface to enable a user to edit the generated data rules. The data rules are stored in a rule repository to be available to use to validate data sets having the record format.
摘要翻译：提供了使用数据挖掘算法来发现数据规则的方法，系统和制品。处理包括多个记录的数据集以生成数据集的数据规则。每个记录具有包括多个字段的记录格式，并且每个规则基于至少一个其他字段中的至少一个预测变量条件提供一个字段的预测条件。生成的数据规则被提供给用户界面，以使用户能够编辑所生成的数据规则。数据规则存储在可用于验证具有记录格式的数据集的规则库中。

9. 发明申请

US20080140602A1 USING A DATA MINING ALGORITHM TO DISCOVER DATA RULES 有权
标题翻译：使用数据挖掘算法发现数据规则
公开(公告)号：US20080140602A1
公开(公告)日：2008-06-12
申请号：US11609307
申请日：2006-12-11
申请人： Mary Ann ROTH , Blayne Harold CHARD , Yannick SAILLET , Harald Clyde SMITH
发明人： Mary Ann ROTH , Blayne Harold CHARD , Yannick SAILLET , Harald Clyde SMITH
IPC分类号： G06N5/02
CPC分类号： G06F17/30303
摘要： Provided are a method, system, and article of manufacture for using a data mining algorithm to discover data rules. A data set including multiple records is processed to generate data rules for the data set. Each record has a record format including a plurality of fields and each rule provides a predicted condition for one field based on at least one predictor condition in at least one other field. The generated data rules are provided to a user interface to enable a user to edit the generated data rules. The data rules are stored in a rule repository to be available to use to validate data sets having the record format.
摘要翻译：提供了使用数据挖掘算法来发现数据规则的方法，系统和制品。处理包括多个记录的数据集以生成数据集的数据规则。每个记录具有包括多个字段的记录格式，并且每个规则基于至少一个其他字段中的至少一个预测变量条件提供一个字段的预测条件。生成的数据规则被提供给用户界面，以使用户能够编辑所生成的数据规则。数据规则存储在可用于验证具有记录格式的数据集的规则库中。

10. 发明授权

US09646083B2 Web 2.0 system and method for dynamic categorization of heterogeneous and regulated enterprise assets 有权
公开(公告)号：US09646083B2
公开(公告)日：2017-05-09
申请号：US11949680
申请日：2007-12-03
申请人： Geetika Agrawal , Benjamin Honzal , Jacques Joseph Labrie , Mary Ann Roth
发明人： Geetika Agrawal , Benjamin Honzal , Jacques Joseph Labrie , Mary Ann Roth
IPC分类号： G06F17/30
CPC分类号： G06F17/30722
摘要： A system and method for the dynamic categorization of heterogeneous, regulated enterprise information assets. In one embodiment of the invention a system includes a computer network controlled by an enterprise and a database including a plurality of enterprise data entities. A user interface, through which a plurality of enterprise users may access the enterprise data entities, is also used by the plurality of users to assign user-defined categories to the enterprise data entities. The user interface is configured to enable a plurality of the users to access and assign additional user-defined categories to enterprise data entities having user-defined categories previously assigned by other users.

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