Data information framework
    1.
    发明授权

    公开(公告)号:US10430413B2

    公开(公告)日:2019-10-01

    申请号:US15070812

    申请日:2016-03-15

    Applicant: SAP SE

    Abstract: A data information framework collects related data sharing characteristics (e.g., personal information, others) revealed by associated purpose information, and reports on that data. The location of the data is not restricted, and can be collected from various locations (e.g. different databases on different computer systems). An engine implements data creation defining links between different stored data structures (e.g., tables) using specific fields. A plurality of tables may be grouped into a smaller number of table clusters to facilitate constructing the data model. The model may be evaluated, enhanced, and/or corrected (e.g., by a user). The model may include fields reflecting the purpose information for the stored data, said fields accessible by the engine during data handling processes. The data model may include descriptions providing data storage location. Purpose information may be mapped to table fields. Field descriptions may be based upon purpose information, with some field values having intelligible text.

    Visualization of complex hierarchy data with interactive adjustments

    公开(公告)号:US11954134B2

    公开(公告)日:2024-04-09

    申请号:US17545727

    申请日:2021-12-08

    Applicant: SAP SE

    Abstract: A computer-implemented method can create a node-link model from a hierarchy table, which includes a plurality of records associated with a plurality of objects organized in segments. A record includes a unique identifier, a parent reference, and a value distribution for the associated object. The parent reference is the unique identifier of a parent object directing the value distribution to the associated object. The node-link model includes a plurality of nodes representing the objects and links connecting the nodes and representing value distributions between the objects. The method can generate a visual representation of the node-link model in a user interface and receive an input from the user interface. Responsive to the input, the method can change the visual representation to depict a portion of the node-link model based on a viewable scope of the node-link model and one or more viewable fields specified in the input.

    VISUALIZATION OF COMPLEX HIERARCHY DATA WITH INTERACTIVE ADJUSTMENTS

    公开(公告)号:US20230177036A1

    公开(公告)日:2023-06-08

    申请号:US17545727

    申请日:2021-12-08

    Applicant: SAP SE

    CPC classification number: G06F16/2282 G06F16/26 G06F16/289

    Abstract: A computer-implemented method can create a node-link model from a hierarchy table, which includes a plurality of records associated with a plurality of objects organized in segments. A record includes a unique identifier, a parent reference, and a value distribution for the associated object. The parent reference is the unique identifier of a parent object directing the value distribution to the associated object. The node-link model includes a plurality of nodes representing the objects and links connecting the nodes and representing value distributions between the objects. The method can generate a visual representation of the node-link model in a user interface and receive an input from the user interface. Responsive to the input, the method can change the visual representation to depict a portion of the node-link model based on a viewable scope of the node-link model and one or more viewable fields specified in the input.

    Data Information Framework
    4.
    发明申请

    公开(公告)号:US20170270163A1

    公开(公告)日:2017-09-21

    申请号:US15070812

    申请日:2016-03-15

    Applicant: SAP SE

    CPC classification number: G06F16/2455 G06F16/2282 G06F16/248 G06F16/285

    Abstract: A data information framework collects related data sharing characteristics (e.g., personal information, others) revealed by associated purpose information, and reports on that data. The location of the data is not restricted, and can be collected from various locations (e.g. different databases on different computer systems). An engine implements data creation defining links between different stored data structures (e.g., tables) using specific fields. A plurality of tables may be grouped into a smaller number of table clusters to facilitate constructing the data model. The model may be evaluated, enhanced, and/or corrected (e.g., by a user). The model may include fields reflecting the purpose information for the stored data, said fields accessible by the engine during data handling processes. The data model may include descriptions providing data storage location. Purpose information may be mapped to table fields. Field descriptions may be based upon purpose information, with some field values having intelligible text.

    IDENTIFICATION, AND QUERY, OF SEMANTICALLY-RELATED DATABASE TABLES

    公开(公告)号:US20200073989A1

    公开(公告)日:2020-03-05

    申请号:US16122566

    申请日:2018-09-05

    Applicant: SAP SE

    Inventor: Marco Valentin

    Abstract: Techniques and solutions are described for determining elements of different database tables have a semantic relationship, and optionally executing a value query using such tables. Tables, including those lacking a technical relationship (such as having a foreign key relationship or association) can be semantically related if an element of the table has the same semantic identifier, such as a domain, as an element of another table. The semantic relationship can exist even if other information, such as field names associated with a respective semantic identifier, are different between the two tables. A source table can be semantically related to one or more other tables, including indirectly based on semantic relationships between two or more of such other tables. Semantic table information can be recursively analyzed, including in a hierarchical manner, to identify a set of semantically related tables. The analysis can be constrained, such as to avoid loops or limit result size or running time.

    Identification, and query, of semantically-related database tables

    公开(公告)号:US10942926B2

    公开(公告)日:2021-03-09

    申请号:US16122566

    申请日:2018-09-05

    Applicant: SAP SE

    Inventor: Marco Valentin

    Abstract: Techniques and solutions are described for determining elements of different database tables have a semantic relationship, and optionally executing a value query using such tables. Tables, including those lacking a technical relationship (such as having a foreign key relationship or association) can be semantically related if an element of the table has the same semantic identifier, such as a domain, as an element of another table. The semantic relationship can exist even if other information, such as field names associated with a respective semantic identifier, are different between the two tables. A source table can be semantically related to one or more other tables, including indirectly based on semantic relationships between two or more of such other tables. Semantic table information can be recursively analyzed, including in a hierarchical manner, to identify a set of semantically related tables. The analysis can be constrained, such as to avoid loops or limit result size or running time.

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