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1. 发明授权

US09038014B2 Intelligently recommending schemas based on user input 有权
标题翻译：基于用户输入智能推荐模式
公开(公告)号：US09038014B2
公开(公告)日：2015-05-19
申请号：US13326645
申请日：2011-12-15
申请人： Hariharan Sivaramakrishnan , Anthony Nino Bice , David Mancini
发明人： Hariharan Sivaramakrishnan , Anthony Nino Bice , David Mancini
IPC分类号： G06F9/44
CPC分类号： G06F8/33 , G06F8/20
摘要： The present invention extends to methods, systems, and computer program products for intelligently recommending schemas based on user input that defines a portion of a data structure. An intelligent auto-complete function can identify characteristics of the user input and, based on these characteristics, recommend schemas that are most likely to be selected by the user to complete the data structure or portion of the data structure. The identified characteristics of the user input can be compared to characteristics of defined schemas or of other data structures to identify schemas that are most likely to match the user's intent. These schemas are then recommended to the user. Such schemas can define the recommended shape of the data structure being defined, including data types for a particular column, columns to add to the data structure, or can define additional data structures to be added such as additional tables to a database.
摘要翻译：本发明扩展到用于基于定义数据结构的一部分的用户输入智能地推荐模式的方法，系统和计算机程序产品。智能自动完成功能可以识别用户输入的特征，并且基于这些特征，推荐最有可能由用户选择以完成数据结构或数据结构的一部分的模式。所识别的用户输入的特征可以与定义的模式或其他数据结构的特征进行比较，以识别最可能匹配用户意图的模式。这些模式然后被推荐给用户。这样的模式可以定义被定义的数据结构的推荐形状，包括特定列的数据类型，添加到数据结构的列，或者可以定义附加的数据结构，例如附加表到数据库。

2. 发明申请

US20130159960A1 INTELLIGENTLY RECOMMENDING SCHEMAS BASED ON USER INPUT 有权
公开(公告)号：US20130159960A1
公开(公告)日：2013-06-20
申请号：US13326645
申请日：2011-12-15
申请人： Hariharan Sivaramakrishnan , Anthony Nino Bice , David Mancini
发明人： Hariharan Sivaramakrishnan , Anthony Nino Bice , David Mancini
IPC分类号： G06F9/44
CPC分类号： G06F8/33 , G06F8/20
摘要： The present invention extends to methods, systems, and computer program products for intelligently recommending schemas based on user input that defines a portion of a data structure. An intelligent auto-complete function can identify characteristics of the user input and, based on these characteristics, recommend schemas that are most likely to be selected by the user to complete the data structure or portion of the data structure. The identified characteristics of the user input can be compared to characteristics of defined schemas or of other data structures to identify schemas that are most likely to match the user's intent. These schemas are then recommended to the user. Such schemas can define the recommended shape of the data structure being defined, including data types for a particular column, columns to add to the data structure, or can define additional data structures to be added such as additional tables to a database.

3. 发明授权

US09122720B2 Enriching database query responses using data from external data sources 有权
公开(公告)号：US09122720B2
公开(公告)日：2015-09-01
申请号：US13159666
申请日：2011-06-14
申请人： Anthony Nino Bice , David Robinson , Hariharan Sivaramakrishnan
发明人： Anthony Nino Bice , David Robinson , Hariharan Sivaramakrishnan
IPC分类号： G06F17/30
CPC分类号： G06F17/30528 , G06F17/30395 , G06F17/30418 , G06F17/3043 , G06F17/30867
摘要： The subject disclosure is directed towards enriching database query responses using data from external data sources. When processing a database query seeking enriched data from an external data source, a request is communicated to the external data source based on the database query. An enriched database query response is generated based on data provided by the external data source. The enriched database query response may be combined with data returned via an internal database query operation, and/or inserted into a local database table.

4. 发明授权

US08996549B2 Recommending data based on user and data attributes 有权
标题翻译：根据用户和数据属性推荐数据
公开(公告)号：US08996549B2
公开(公告)日：2015-03-31
申请号：US13332022
申请日：2011-12-20
申请人： James Finnigan , Hariharan Sivaramakrishnan , Anthony Nino Bice
发明人： James Finnigan , Hariharan Sivaramakrishnan , Anthony Nino Bice
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The present invention extends to methods, systems, and computer program products for recommending data based on user and data attributes. User information and accessed data sets are periodically (and possibly automatically) accessed and updated. Source attributes are derived from user information and accessed data sets. Target attributes are derived from data directories and data services. Source attributes for an accessed data set are used along target attributes for a data directory or data service to determine the desirability of data directory or data service as a source of data relevant to the accessed data set. The data directory and/or data service can be recommended as able to provide relevant data. Accordingly, recommend relevant data can be recommended to a user without the user having to expressly search for the relevant data or even know that the relevant data exists.
摘要翻译：本发明扩展到用于基于用户和数据属性推荐数据的方法，系统和计算机程序产品。定期（并可能自动）访问和更新用户信息和访问的数据集。源属性来源于用户信息和访问的数据集。目标属性来自数据目录和数据服务。访问数据集的源属性沿着数据目录或数据服务的目标属性使用，以确定数据目录或数据服务作为与访问数据集相关的数据源的可取性。可以建议数据目录和/或数据服务提供相关数据。因此，建议相关数据可以推荐给用户，而用户不必明确搜索相关数据，甚至知道相关数据存在。

5. 发明授权

US09244956B2 Recommending data enrichments 有权
标题翻译：推荐数据丰富
公开(公告)号：US09244956B2
公开(公告)日：2016-01-26
申请号：US13159654
申请日：2011-06-14
申请人： Anthony Nino Bice , David Michael Robinson , Hariharan Sivaramakrishnan
发明人： Anthony Nino Bice , David Michael Robinson , Hariharan Sivaramakrishnan
IPC分类号： G06F7/00 , G06F17/00 , G06F17/30
CPC分类号： G06F17/30424 , G06F17/30303 , G06F17/30699 , G06F17/30867 , G06F17/30979
摘要： The present invention extends to methods, systems, and computer program products for recommending data sources. A request to provide recommendations of data enrichments for a database is received at a recommendation engine. The recommendation engine may perform static and dynamic analysis of data associated with the database and may further refine recommendations based on policies. The recommendation engine may then provide the recommendations, if any, of data enrichments to allow a software developer, for example, to indicate whether the data enrichments are to be used.
摘要翻译：本发明扩展到用于推荐数据源的方法，系统和计算机程序产品。在推荐引擎上收到提供数据库数据丰富建议的请求。推荐引擎可以对与数据库相关联的数据执行静态和动态分析，并且可以基于策略进一步改进建议。然后，推荐引擎可以提供数据丰富的建议（如果有的话），以允许软件开发者例如指示是否使用数据富集。

6. 发明申请

US20130091164A1 RECOMMENDING DATA BASED ON USER AND DATA ATTRIBUTES 有权
标题翻译：基于用户和数据属性的推荐数据
公开(公告)号：US20130091164A1
公开(公告)日：2013-04-11
申请号：US13332022
申请日：2011-12-20
申请人： James Finnigan , Hariharan Sivaramakrishnan , Anthony Nino Bice
发明人： James Finnigan , Hariharan Sivaramakrishnan , Anthony Nino Bice
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The present invention extends to methods, systems, and computer program products for recommending data based on user and data attributes. User information and accessed data sets are periodically (and possibly automatically) accessed and updated. Source attributes are derived from user information and accessed data sets. Target attributes are derived from data directories and data services. Source attributes for an accessed data set are used along target attributes for a data directory or data service to determine the desirability of data directory or data service as a source of data relevant to the accessed data set. The data directory and/or data service can be recommended as able to provide relevant data. Accordingly, recommend relevant data can be recommended to a user without the user having to expressly search for the relevant data or even know that the relevant data exists.
摘要翻译：本发明扩展到用于基于用户和数据属性推荐数据的方法，系统和计算机程序产品。定期（并可能自动）访问和更新用户信息和访问的数据集。源属性来源于用户信息和访问的数据集。目标属性来自数据目录和数据服务。访问数据集的源属性沿着数据目录或数据服务的目标属性使用，以确定数据目录或数据服务作为与访问数据集相关的数据源的可取性。可以建议数据目录和/或数据服务提供相关数据。因此，建议相关数据可以推荐给用户，而用户不必明确搜索相关数据，甚至知道相关数据存在。

7. 发明申请

US20120323947A1 Enriching Database Query Responses using Data from External Data Sources 有权
标题翻译：丰富使用外部数据源数据的数据库查询响应
公开(公告)号：US20120323947A1
公开(公告)日：2012-12-20
申请号：US13159666
申请日：2011-06-14
申请人： Anthony Nino Bice , David Robinson , Hariharan Sivaramakrishnan
发明人： Anthony Nino Bice , David Robinson , Hariharan Sivaramakrishnan
IPC分类号： G06F17/30
CPC分类号： G06F17/30528 , G06F17/30395 , G06F17/30418 , G06F17/3043 , G06F17/30867
摘要： The subject disclosure is directed towards enriching database query responses using data from external data sources. When processing a database query seeking enriched data from an external data source, a request is communicated to the external data source based on the database query. An enriched database query response is generated based on data provided by the external data source. The enriched database query response may be combined with data returned via an internal database query operation, and/or inserted into a local database table.
摘要翻译：主题公开旨在使用来自外部数据源的数据丰富数据库查询响应。当处理从外部数据源寻求富集数据的数据库查询时，基于数据库查询将请求传送到外部数据源。基于由外部数据源提供的数据生成丰富的数据库查询响应。丰富的数据库查询响应可以与通过内部数据库查询操作返回的数据组合，和/或插入到本地数据库表中。

8. 发明申请

US20120323843A1 Recommending Data Enrichments 有权
标题翻译：推荐数据丰富
公开(公告)号：US20120323843A1
公开(公告)日：2012-12-20
申请号：US13159654
申请日：2011-06-14
申请人： Anthony Nino Bice , David Michael Robinson , Hariharan Sivaramakrishnan
发明人： Anthony Nino Bice , David Michael Robinson , Hariharan Sivaramakrishnan
IPC分类号： G06F17/30
CPC分类号： G06F17/30424 , G06F17/30303 , G06F17/30699 , G06F17/30867 , G06F17/30979
摘要： Aspects of the subject matter described herein relate to recommending data sources. In aspects, a request to provide recommendations of data enrichments for a database is received at a recommendation engine. The recommendation engine may perform static and dynamic analysis of data associated with the database and may further refine recommendations based on policies. The recommendation engine may then provide the recommendations, if any, of data enrichments to allow a software developer, for example, to indicate whether the data enrichments are to be used.
摘要翻译：本文描述的主题的方面涉及推荐数据源。在方面中，在推荐引擎处接收到针对数据库提供数据丰富的建议的请求。推荐引擎可以对与数据库相关联的数据执行静态和动态分析，并且可以基于策略进一步改进建议。然后，推荐引擎可以提供数据丰富的建议（如果有的话），以允许软件开发者例如指示是否使用数据富集。

9. 发明申请

US20130339363A1 DYNAMIC VISUALIZATION GENERATION AND IMPLEMENTATION 有权
标题翻译：动态可视化生成与实现
公开(公告)号：US20130339363A1
公开(公告)日：2013-12-19
申请号：US13517519
申请日：2012-06-13
申请人： Moe Khosravy , Christian Liensberger , Anthony Nino Bice
发明人： Moe Khosravy , Christian Liensberger , Anthony Nino Bice
IPC分类号： G06F17/30
CPC分类号： G06F17/246 , G06F17/30991
摘要： Embodiments are directed to selecting and applying data-specific presentations, to adaptively selecting visual presentations based on historical data and to providing rendering hints for data presentations. In one scenario, a computer system receives an indication that a visual presentation is to be applied to a specified portion of data. The computer system analyzes the specified data to determine which of a plurality of data presentations is most relevant for the specified data. The relevance is based on relevancy factors including one or more of the following: end-user profile, structure of the specified data and patterns within the specified data. The computer system then applies the determined appropriate visual presentation to the specified data.
摘要翻译：实施例涉及选择和应用特定于数据的演示，以基于历史数据自适应地选择视觉呈现，并提供数据呈现的呈现提示。在一种情况下，计算机系统接收将视觉呈现应用于指定部分数据的指示。计算机系统分析指定的数据以确定多个数据呈现中的哪一个对于指定数据最相关。相关性基于包括以下一个或多个的相关因素：最终用户简档，指定数据的结构和指定数据内的模式。计算机系统然后将确定的适当的视觉呈现应用于指定的数据。

10. 发明申请

US20130091163A1 DISCOVERING AND CONSUMING RELATED DATA 审中-公开
标题翻译：发现和消费相关数据
公开(公告)号：US20130091163A1
公开(公告)日：2013-04-11
申请号：US13331991
申请日：2011-12-20
申请人： Anthony Nino Bice , James Finnigan , Levon Esibov
发明人： Anthony Nino Bice , James Finnigan , Levon Esibov
IPC分类号： G06F17/30
CPC分类号： G06F17/2785 , G06F16/832
摘要： The present invention extends to methods, systems, and computer program products for discovering and consuming related data. Users can find data related/relevant to an accessed dataset without leaving the context of their application. A service analyzes and understands (classifies) the dataset as well as user profile information and environmental information (e.g., operating system in use, task being performed, etc.). The service displays recommendations for related/relevant data and/or related/relevant data services within the application (e.g., within a spreadsheet, database, file system, etc.). In response to user selection of a recommendation, related/relevant data (either directly or from a data service) is transferred into the application. Accordingly, relevant/related data can be transferred into an application without a user having to leave the application to search for the data.
摘要翻译：本发明扩展到用于发现和消费相关数据的方法，系统和计算机程序产品。用户可以在不离开应用程序的上下文的情况下查找与访问数据集相关/相关的数据。服务分析并理解（分类）数据集以及用户简档信息和环境信息（例如，使用中的操作系统，正在执行的任务等）。该服务显示在应用程序内的相关/相关数据和/或相关/相关数据服务的建议（例如，在电子表格，数据库，文件系统等内）。响应于用户对推荐的选择，相关/相关数据（直接地或来自数据服务）被转移到应用程序中。因此，相关/相关数据可以被转移到应用中，而不需要用户离开应用来搜索数据。

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