RECOMMENDING DATA BASED ON USER AND DATA ATTRIBUTES
    3.
    发明申请
    RECOMMENDING DATA BASED ON USER AND DATA ATTRIBUTES 有权
    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

    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。

    Recommending data enrichments
    4.
    发明授权
    Recommending data enrichments 有权
    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

    IPC分类号: G06F7/00 G06F17/00 G06F17/30

    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。

    Enriching Database Query Responses using Data from External Data Sources
    5.
    发明申请
    Enriching Database Query Responses using Data from External Data Sources 有权
    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

    IPC分类号: G06F17/30

    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。

    Recommending Data Enrichments
    6.
    发明申请
    Recommending Data Enrichments 有权
    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

    IPC分类号: G06F17/30

    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。

    Intelligently recommending schemas based on user input
    8.
    发明授权
    Intelligently recommending schemas based on user input 有权
    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

    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。

    Recommending data based on user and data attributes
    9.
    发明授权
    Recommending data based on user and data attributes 有权
    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

    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。

    INTELLIGENTLY RECOMMENDING SCHEMAS BASED ON USER INPUT

    公开(公告)号:US20130159960A1

    公开(公告)日:2013-06-20

    申请号:US13326645

    申请日:2011-12-15

    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.