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公开(公告)号：US08849828B2
公开(公告)日：2014-09-30
申请号：US13249953
申请日：2011-09-30
CPC分类号： G06N99/005 , G06Q10/06
摘要： Techniques are described for refining the manual classification of assets classified or categorized using the terms of a business glossary. A semantic refinement mechanism is used to refine the manual classification of such assets, as well as subsequently evaluate the refined asset classifications. Further, the refined asset classifications may be used as a training set for a machine learning classifier. That is, should the classification of an asset contributing to a refinement change, the refinement based on that classification may be undone, at least in some cases.
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公开(公告)号：US20130289991A1
公开(公告)日：2013-10-31
申请号：US13459633
申请日：2012-04-30
IPC分类号： G10L17/00
CPC分类号： G06Q50/01 , G06F16/9574 , G10L15/26
摘要： According to a present invention embodiment, a system utilizes a voice tag to automatically tag one or more entities within a social media environment, and comprises a computer system including at least one processor. The system analyzes the voice tag to identify one or more entities, where the voice tag includes voice signals providing information pertaining to one or more entities. One or more characteristics of each identified entity are determined based on the information within the voice tag. One or more entities appropriate for tagging within the social media environment are determined based on the characteristics and user settings within the social media environment of the identified entities, and automatically tagged. Embodiments of the present invention further include a method and computer program product for utilizing a voice tag to automatically tag one or more entities within a social media environment in substantially the same manner described above.
摘要翻译： 根据本发明的实施例，系统利用语音标签来自动地标记社交媒体环境中的一个或多个实体，并且包括包括至少一个处理器的计算机系统。 系统分析语音标签以识别一个或多个实体，其中语音标签包括提供与一个或多个实体有关的信息的语音信号。 基于语音标签内的信息来确定每个被识别实体的一个或多个特征。 基于在所识别的实体的社交媒体环境内的特征和用户设置来确定适于在社交媒体环境内进行标记的一个或多个实体，并自动标记。 本发明的实施例还包括一种方法和计算机程序产品，用于利用语音标签以与上述基本相同的方式在社交媒体环境中自动标记一个或多个实体。
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公开(公告)号：US08473521B2
公开(公告)日：2013-06-25
申请号：US13493369
申请日：2012-06-11
IPC分类号： G06F17/30
CPC分类号： G06F17/30306
摘要： Mapping and translating reference data from multiple databases using an enterprise ontology. This is achieved by various means, including mapping values of a first database to corresponding fields within the ontology, mapping values of a second database to corresponding fields within the ontology, and determining relationships between the values of the first database and the values of the second database based on their respective mappings to common fields within the ontology.
摘要翻译： 使用企业本体从多个数据库映射和翻译参考数据。 这通过各种手段实现，包括将第一数据库的值映射到本体内的相应字段，将第二数据库的值映射到本体内的相应字段，以及确定第一数据库的值与第二数据库的值之间的关系 数据库基于它们各自映射到本体内的常见字段。
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4.发明申请Auto-Mapping Between Source and Target Models Using Statistical and Ontology Techniques 有权源和目标模型之间的自动映射使用统计和本体技术公开(公告)号：US20130031117A1
公开(公告)日：2013-01-31
申请号：US13190766
申请日：2011-07-26
IPC分类号： G06F17/30
CPC分类号： G06F17/303 , G06F17/30914
摘要： A system maps data within a data source to a target data model, and comprises a computer system including at least one processor. The system determines an identifier for each data object of the data source based on the data within that data object, wherein the identifier indicates for that data object a corresponding concept within a domain ontological representation of a data model of the data source. The determined identifiers for the data objects of the data source are compared to the target data model to determine mappings between the data objects of the data source and the target data model. Data objects from the data source are extracted for the target data model in accordance with the mappings. Present invention embodiments further include a method and computer program product for mapping data within a data source to a target data model.
摘要翻译： 系统将数据源中的数据映射到目标数据模型，并且包括包括至少一个处理器的计算机系统。 该系统基于该数据对象内的数据确定数据源的每个数据对象的标识符，其中该标识符为该数据对象指示数据源的数据模型的域本体表示内的对应概念。 将确定的数据源的数据对象的标识符与目标数据模型进行比较，以确定数据源的数据对象与目标数据模型之间的映射。 根据映射提取目标数据模型的数据源数据对象。 本发明实施例还包括用于将数据源内的数据映射到目标数据模型的方法和计算机程序产品。
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5.发明申请IDENTIFYING INFORMATION ASSETS WITHIN AN ENTERPRISE USING A SEMANTIC GRAPH CREATED USING FEEDBACK RE-ENFORCED SEARCH AND NAVIGATION 审中-公开使用反馈重新执行搜索和导航创建的语义图在企业中识别信息资产公开(公告)号：US20120221558A1
公开(公告)日：2012-08-30
申请号：US13037187
申请日：2011-02-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06Q10/06 , Y04S10/54
摘要： Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.
摘要翻译： 本发明的实施例提供了一种用于创建，演进和使用加权语义图来管理和潜在地识别企业内的某些信息资产的方法。 可以通过监视通过搜索结果浏览的用户来产生语义图，该搜索结果提供响应于搜索查询的一组信息资产。 通过记录许多用户所采用的导航路径，可以识别信息资产之间的关系。 此外，一旦生成，语义图可以用于向用户呈现作为搜索结果的一部分的相关信息资产的指示。 此外，语义图也可以用于识别信息断言“集线器”以及可能为企业内的个人提供低效用的信息资产。
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6.发明授权Auto-mapping between source and target models using statistical and ontology techniques 有权使用统计和本体技术在源模型和目标模型之间进行自动映射公开(公告)号：US08898104B2
公开(公告)日：2014-11-25
申请号：US13190766
申请日：2011-07-26
CPC分类号： G06F17/303 , G06F17/30914
摘要： A system maps data within a data source to a target data model, and comprises a computer system including at least one processor. The system determines an identifier for each data object of the data source based on the data within that data object, wherein the identifier indicates for that data object a corresponding concept within a domain ontological representation of a data model of the data source. The determined identifiers for the data objects of the data source are compared to the target data model to determine mappings between the data objects of the data source and the target data model. Data objects from the data source are extracted for the target data model in accordance with the mappings. Present invention embodiments further include a method and computer program product for mapping data within a data source to a target data model.
摘要翻译： 系统将数据源中的数据映射到目标数据模型，并且包括包括至少一个处理器的计算机系统。 该系统基于该数据对象内的数据确定数据源的每个数据对象的标识符，其中该标识符为该数据对象指示数据源的数据模型的域本体表示内的对应概念。 将确定的数据源的数据对象的标识符与目标数据模型进行比较，以确定数据源的数据对象与目标数据模型之间的映射。 根据映射提取目标数据模型的数据源数据对象。 本发明实施例还包括用于将数据源内的数据映射到目标数据模型的方法和计算机程序产品。
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7.发明授权Generating a semantic graph relating information assets using feedback re-enforced search and navigation 失效使用反馈重新执行搜索和导航生成关于信息资产的语义图公开(公告)号：US08782039B2
公开(公告)日：2014-07-15
申请号：US13553050
申请日：2012-07-19
CPC分类号： G06F17/30864 , G06F17/30675 , G06F17/30696 , G06F17/30867 , G06F17/30979 , G06Q30/02
摘要： Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.
摘要翻译： 本发明的实施例提供了一种用于创建，演进和使用加权语义图来管理和潜在地识别企业内的某些信息资产的方法。 可以通过监视通过搜索结果浏览的用户来产生语义图，该搜索结果提供响应于搜索查询的一组信息资产。 通过记录许多用户所采用的导航路径，可以识别信息资产之间的关系。 此外，一旦生成，语义图可以用于向用户呈现作为搜索结果的一部分的相关信息资产的指示。 此外，语义图也可以用于识别信息断言“集线器”以及可能为企业内的个人提供低效用的信息资产。
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公开(公告)号：US20130238596A1
公开(公告)日：2013-09-12
申请号：US13415047
申请日：2012-03-08
IPC分类号： G06F17/30
CPC分类号： G06F17/30563
摘要： A method, system and computer program product for identifying reference data tables in an Extract-Transform-Load (ETL) process, by identifying, by operation of one or more computer processors, at least a first reference data operator in the process, wherein the first reference data operator references one or more tables and evaluating at least a first table referenced by the reference data operator to determine whether the first table is a reference data table by assigning a score to the first table, wherein the score is indicative of the likelihood that the first table is a reference data table and wherein a reference data table contains a set of values that describes other data.
摘要翻译： 一种用于通过在一个或多个计算机处理器的操作中识别在该过程中的至少第一参考数据运算符来识别提取 - 转换 - 加载（ETL）过程中的参考数据表的方法，系统和计算机程序产品，其中， 第一参考数据运算符引用一个或多个表并且评估由参考数据运算符引用的至少第一表，以通过将得分分配给第一表来确定第一表是参考数据表，其中分数表示可能性 第一表是参考数据表，并且其中参考数据表包含描述其他数据的一组值。
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公开(公告)号：US20130238550A1
公开(公告)日：2013-09-12
申请号：US13415018
申请日：2012-03-08
IPC分类号： G06F17/30
CPC分类号： G06F17/30563
摘要： Techniques are disclosed for identifying transcoding tables in an Extract-Transform-Load (ETL) process, by identifying, by operation of one or more computer processors, records passing through an operator configured to replace values in the records with values from at least one table linked to the operator before being sent to an output table, wherein the operator specifies an operation for extracting, transforming, or loading data stored in one or more source systems into storage by a target system, and evaluating at least a first table linked to the operator to determine whether the first table is a transcoding table by assigning a score to the first table, wherein the score is indicative of the likelihood that the first table is a transcoding table, wherein a transcoding table is used to harmonize values from a plurality of tables in the one or more source systems to a table in the target.
摘要翻译： 公开了用于在提取 - 转换 - 加载（ETL）过程中识别代码转换表的技术，通过一个或多个计算机处理器的操作，通过被配置为用至少一个表中的值替换记录中的值的操作者的记录 在被发送到输出表之前链接到操作者，其中操作者指定用于将存储在一个或多个源系统中的数据提取，变换或加载到由目标系统存储的操作的操作，以及至少评估与第 操作者通过将分数分配给第一表来确定第一表是否是代码转换表，其中分数指示第一表是代码转换表的可能性，其中代码转换表用于协调来自多个 将一个或多个源系统中的表映射到目标中的表。
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10.发明申请GENERATING A SEMANTIC GRAPH RELATING INFORMATION ASSETS USING FEEDBACK RE-ENFORCED SEARCH AND NAVIGATION 有权使用反馈重新执行搜索和导航来生成相关信息资源的语法图公开(公告)号：US20120221555A1
公开(公告)日：2012-08-30
申请号：US13036799
申请日：2011-02-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30675 , G06F17/30696 , G06F17/30867 , G06F17/30979 , G06Q30/02
摘要： Embodiments of the invention provide an approach for creating, evolving and using a weighted semantic graph to manage and potentially identify certain information assets within an enterprise. The semantic graph may be generated by monitoring users navigating through search results which provide a set of information assets responsive to a search query. By recording the navigation path taken by many users, relationships between information assets may be identified. Further, once generated, the semantic graph may be used to present users with in indication of related information assets as part of the search results. Further still, the semantic graph may also be used to identify information assert “hubs” as well as information assets that may provide low utility to individuals within the enterprise.
摘要翻译： 本发明的实施例提供了一种用于创建，演进和使用加权语义图来管理和潜在地识别企业内的某些信息资产的方法。 可以通过监视通过搜索结果浏览的用户来产生语义图，该搜索结果提供响应于搜索查询的一组信息资产。 通过记录许多用户所采用的导航路径，可以识别信息资产之间的关系。 此外，一旦生成，语义图可以用于向用户呈现作为搜索结果的一部分的相关信息资产的指示。 此外，语义图也可以用于识别信息断言“集线器”以及可能为企业内的个人提供低效用的信息资产。
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