会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Handling data sets
    • 处理数据集
    • US08666998B2
    • 2014-03-04
    • US13173383
    • 2011-06-30
    • Sebastian NelkeMartin A OberhoferYannick SailletJens Seifert
    • Sebastian NelkeMartin A OberhoferYannick SailletJens Seifert
    • G06F17/30
    • G06F17/10G06F17/30569G06F17/30598
    • A method, system and computer program product provides a first characteristic associated with a first data set and a single data value, and a second characteristic associated with a second data set; and calculates at least one of: 1) the similarity of the first data set with the second data set based on the first and second characteristics, 2) the similarity of the first data set with the single data value based on the first characteristic and the single data value, 3) confidence indicating how well the first characteristic reflects properties of the first data set based on the first characteristic, and 4) confidence indicating how well the similarity of the first data set with the single data value reflects properties of the single data value based on the first characteristic and the single data value.
    • 方法,系统和计算机程序产品提供与第一数据集和单个数据值相关联的第一特征以及与第二数据集相关联的第二特征; 并且计算以下各项中的至少一个:1)基于第一和第二特征的第一数据集与第二数据集的相似度,2)基于第一特征的第一数据集与单个数据值的相似度,以及 单数据值,3)基于第一特征反映第一数据集的属性的第一特征的良好的置信度,以及指示第一数据集与单个数据值的相似性如何反映单个数据集的属性的置信度 基于第一特征和单个数据值的数据值。
    • 2. 发明申请
    • Application of Voice Tags in a Social Media Context
    • 语音标签在社交媒体上的应用
    • US20130289991A1
    • 2013-10-31
    • US13459633
    • 2012-04-30
    • Bhavani K. EshwarMartin A. OberhoferSushain Pandit
    • Bhavani K. EshwarMartin A. OberhoferSushain Pandit
    • G10L17/00
    • G06Q50/01G06F16/9574G10L15/26
    • 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.
    • 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。
    • 4. 发明申请
    • Auto-Mapping Between Source and Target Models Using Statistical and Ontology Techniques
    • 源和目标模型之间的自动映射使用统计和本体技术
    • US20130031117A1
    • 2013-01-31
    • US13190766
    • 2011-07-26
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • G06F17/30
    • G06F17/303G06F17/30914
    • 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.
    • 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。
    • 6. 发明授权
    • Auto-mapping between source and target models using statistical and ontology techniques
    • 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
    • US08898104B2
    • 2014-11-25
    • US13190766
    • 2011-07-26
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • G06F7/00G06F17/00G06F17/30
    • G06F17/303G06F17/30914
    • 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.
    • 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。
    • 7. 发明授权
    • Managing connections between real world and virtual world communities
    • 管理现实世界和虚拟世界社区之间的联系
    • US08862482B2
    • 2014-10-14
    • US12576606
    • 2009-10-09
    • Geetika T. LakshmananMartin A. Oberhofer
    • Geetika T. LakshmananMartin A. Oberhofer
    • G06Q10/10G06Q30/02G06Q10/06G06Q10/08
    • G06Q10/10
    • A method, information processing system, and computer program storage product manage connections between a virtual world and a social network. A set of virtual world information and a set of social network information are analyzed. A graph including a plurality of vertices is generated. Each vertex represents one of virtual world information and social network information. Each vertex is coupled to at least one other vertex by a respective edge. At least one edge of the graph couples a first vertex representing virtual world information and a second vertex representing social network information. At least one vertex is determined to be an articulation point having a respective edge. The removal of the respective edge of the articulation point causes a disconnection of the virtual world information from the social network information within the graph. A user is notified via a graphical user interface that the graph comprises the articulation point.
    • 一种方法,信息处理系统和计算机程序存储产品管理虚拟世界和社交网络之间的连接。 分析一组虚拟世界信息和一组社交网络信息。 生成包括多个顶点的图形。 每个顶点代表虚拟世界信息和社交网络信息之一。 每个顶点通过相应的边缘耦合到至少一个其他顶点。 图的至少一个边缘耦合表示虚拟世界信息的第一顶点和表示社交网络信息的第二顶点。 至少一个顶点被确定为具有相应边缘的关节点。 关节点的相应边缘的移除导致虚拟世界信息与图中的社交网络信息的断开。 通过图形用户界面通知用户该图包括关节点。
    • 10. 发明申请
    • METHOD TO DETECT TRANSCODING TABLES IN ETL PROCESSES
    • 检测ETL过程中的折叠表的方法
    • US20130238550A1
    • 2013-09-12
    • US13415018
    • 2012-03-08
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • Dan J. MandelsteinIvan M. MilmanMartin A. OberhoferSushain Pandit
    • G06F17/30
    • G06F17/30563
    • 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.
    • 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。