RECOMMENDING DATA BASED ON USER AND DATA ATTRIBUTES
    1.
    发明公开
    RECOMMENDING DATA BASED ON USER AND DATA ATTRIBUTES 审中-公开
    基于用户和数据属性数据的建议

    公开(公告)号:EP2766823A2

    公开(公告)日:2014-08-20

    申请号:EP12839715.5

    申请日:2012-10-09

    IPC分类号: G06F17/00

    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.

    INTELLIGENTLY RECOMMENDING SCHEMAS BASED ON USER INPUT
    3.
    发明公开
    INTELLIGENTLY RECOMMENDING SCHEMAS BASED ON USER INPUT 审中-公开
    基于用户输入方案的智能建议

    公开(公告)号:EP2791820A1

    公开(公告)日:2014-10-22

    申请号:EP12856744.3

    申请日:2012-12-05

    IPC分类号: G06F17/00 G06F17/30 G06F3/048

    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.