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公开(公告)号：US08452792B2
公开(公告)日：2013-05-28
申请号：US13284853
申请日：2011-10-28
申请人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
发明人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Techniques for defocusing queries over big datasets and dynamic datasets are provided to broaden search results and incorporate all potentially relevant data and avoid overly narrowing queries. An analytic component can receive queries directed at one region of a dataset and analyze the queries to generate inferences about the queries. The queries can then be defocused by a defocusing component and incorporate a larger dataset than originally searched to broaden the queries. The larger dataset can incorporate all, or a part of the original dataset and can also be disparate from the original dataset. Clusters of queries can also be merged and unified to deal with ‘local minima’ issues and broaden the understanding of the dataset. In other embodiments, dynamic data can be monitored and changes tracked, to ensure that all portions of the dataset are being searched by the queries.
摘要翻译： 提供了通过大型数据集和动态数据集散列查询的技术，以扩大搜索结果并整合所有潜在相关数据，避免过度缩小查询。 分析组件可以接收针对数据集的一个区域的查询，并分析查询以生成关于查询的推断。 然后，这些查询可以由散焦组件散焦，并且包含比原始搜索的更大的数据集来扩展查询。 较大的数据集可以包含原始数据集的全部或一部分，也可以与原始数据集不同。 查询集群也可以合并和统一，以处理“本地最小化”问题，并扩大对数据集的理解。 在其他实施例中，可以监视动态数据并跟踪变化，以确保数据集的所有部分都被查询搜索。
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公开(公告)号：US20130110872A1
公开(公告)日：2013-05-02
申请号：US13284853
申请日：2011-10-28
申请人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
发明人： Roger Barga , Alexander Sasha Stojanovic , Henricus Johannes Maria Meijer , Carl Carter-Schwendler , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F17/30389
摘要： Techniques for defocusing queries over big datasets and dynamic datasets are provided to broaden search results and incorporate all potentially relevant data and avoid overly narrowing queries. An analytic component can receive queries directed at one region of a dataset and analyze the queries to generate inferences about the queries. The queries can then be defocused by a defocusing component and incorporate a larger dataset than originally searched to broaden the queries. The larger dataset can incorporate all, or a part of the original dataset and can also be disparate from the original dataset. Clusters of queries can also be merged and unified to deal with ‘local minima’ issues and broaden the understanding of the dataset. In other embodiments, dynamic data can be monitored and changes tracked, to ensure that all portions of the dataset are being searched by the queries.
摘要翻译： 提供了通过大型数据集和动态数据集散列查询的技术，以扩大搜索结果并整合所有潜在相关数据，避免过度缩小查询。 分析组件可以接收针对数据集的一个区域的查询，并分析查询以生成关于查询的推断。 然后，这些查询可以由散焦组件散焦，并且包含比原始搜索的更大的数据集来扩展查询。 较大的数据集可以包含原始数据集的全部或一部分，也可以与原始数据集不同。 查询集群也可以合并和统一，以处理“本地最小化”问题，并扩大对数据集的理解。 在其他实施例中，可以监视动态数据并跟踪变化，以确保数据集的所有部分都被查询搜索。
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公开(公告)号：US20130110853A1
公开(公告)日：2013-05-02
申请号：US13286152
申请日：2011-10-31
申请人： Burton Smith , Henricus Johannes Maria Meijer , David B. Wecker , Alexander Sasha Stojanovic , Michael Isard , Savas Parastatidis
发明人： Burton Smith , Henricus Johannes Maria Meijer , David B. Wecker , Alexander Sasha Stojanovic , Michael Isard , Savas Parastatidis
IPC分类号： G06F17/30
CPC分类号： G06F16/248 , G06F16/2452 , G06F16/258
摘要： The subject disclosure relates to using structured query language constructs in non-structured query language domains. For example, through mathematical and logical transformation of concepts from a key, value pair domain associated with structured query language data structures to graphical-related data structures, the value originating in the structured query language domain can be modified for use in non-structured query language domains. This can open up options in analytics and can solve some of the problems associated with liner algebra.
摘要翻译： 本发明涉及在非结构化查询语言域中使用结构化查询语言结构。 例如，通过从结构化查询语言数据结构与图形相关数据结构相关联的密钥，值对域的概念的数学和逻辑转换，可以修改源自结构化查询语言域的值以用于非结构化查询 语言域。 这可以打开分析中的选项，并可以解决与线代数相关的一些问题。
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公开(公告)号：US09183407B2
公开(公告)日：2015-11-10
申请号：US13283794
申请日：2011-10-28
CPC分类号： G06F21/6227 , H04L9/008 , H04L63/0428 , H04L63/101 , H04L2209/42
摘要： A technique for protecting the privacy of a query is provided using permissions that may be derived from an analysis of the context of the query. A monitoring component can be provided to receive or intercept queries directed at a datastore, and a privacy component is provided that analyzes permissions associated with the queries. The privacy component can also determine access levels of the queries based on the analysis of the permissions. A response component can then be provided to answer the queries in accordance with the access levels of the queries.
摘要翻译： 使用可以从查询的上下文的分析导出的许可来提供用于保护查询的隐私的技术。 可以提供监视组件来接收或拦截指向数据存储的查询，并提供分析与查询相关联的许可的隐私组件。 隐私组件还可以基于对权限的分析来确定查询的访问级别。 然后可以提供响应组件以根据查询的访问级别来回答查询。
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公开(公告)号：US20130110876A1
公开(公告)日：2013-05-02
申请号：US13283794
申请日：2011-10-28
IPC分类号： G06F17/30
CPC分类号： G06F21/6227 , H04L9/008 , H04L63/0428 , H04L63/101 , H04L2209/42
摘要： Permission based query processing techniques are provided for protecting privacy. A monitoring component can be provided to receive or intercept queries directed at a datastore, and a privacy component is provided that analyzes permissions associated with the queries. The privacy component can also determine access levels of the queries based on the analysis of the permissions. A response component can then be provided to answer the queries in accordance with the access levels of the queries. While the response component is answering the queries, it can also mask the data in the datastore through a variety of techniques disclosed herein. In other embodiments, query responses can be filtered based on query contexts and data from two or more datastores can be compared and similarities identified without exposing the data from either datastore.
摘要翻译： 提供基于权限的查询处理技术来保护隐私。 可以提供监视组件来接收或拦截指向数据存储的查询，并提供分析与查询相关联的许可的隐私组件。 隐私组件还可以基于对权限的分析来确定查询的访问级别。 然后可以提供响应组件以根据查询的访问级别来回答查询。 当响应组件正在回答查询时，它还可以通过本文公开的各种技术来掩蔽数据存储区中的数据。 在其他实施例中，可以基于查询上下文来过滤查询响应，并且可以比较来自两个或更多个数据存储的数据，并且识别相似性而不暴露来自任一数据存储的数据。
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