公开(公告)号：US12072857B2

公开(公告)日：2024-08-27

申请号：US17854978

申请日：2022-06-30

Applicant: SAP SE

Inventor： Sabine Stellmacher ,  Dirk Riemer ,  Christian Buschmann ,  Andreas Seifried ,  Armin Maier

IPC: G06F16/00 ,  G06F16/215 ,  G06F16/22 ,  G06F16/2458 ,  G06F16/248

CPC classification number: G06F16/215 ,  G06F16/2282 ,  G06F16/2462 ,  G06F16/248

Abstract: In some implementations, generating enriched data includes actions of receiving a user input comprising object data. A communication with an analytics library is triggered to determine, by using an identification algorithm, a derivation scenario corresponding to the object data, the derivation scenario being stored in a relational database and comprising derivation rules. Modeled information is determined based on the derivation rules. Enriched data is generated based on the object data and by using the modeled information and provided for display.

公开(公告)号：US20240004846A1

公开(公告)日：2024-01-04

申请号：US17854978

申请日：2022-06-30

Applicant: SAP SE

Inventor： Sabine Stellmacher ,  Dirk Riemer ,  Christian Buschmann ,  Andreas Seifried ,  Armin Maier

IPC: G06F16/215 ,  G06F16/248 ,  G06F16/22 ,  G06F16/2458

CPC classification number: G06F16/215 ,  G06F16/248 ,  G06F16/2282 ,  G06F16/2462

Abstract: In some implementations, generating enriched data includes actions of receiving a user input comprising object data. A communication with an analytics library is triggered to determine, by using an identification algorithm, a derivation scenario corresponding to the object data, the derivation scenario being stored in a relational database and comprising derivation rules. Modeled information is determined based on the derivation rules. Enriched data is generated based on the object data and by using the modeled information and provided for display.

公开(公告)号：US20210065016A1

公开(公告)日：2021-03-04

申请号：US16552678

申请日：2019-08-27

Applicant: SAP SE

Inventor： Dirk Riemer ,  Dimitrij Raev ,  Mikhail Goncharov

IPC: G06N5/02 ,  G06F16/28 ,  G06N5/04

Abstract: Technologies are provided for automatically implementing composite data rules, where a composite data rule includes a plurality of data rules. From the plurality of data rules, rule antecedents and rule consequents are used to automatically generate one or more computing artifacts for evaluating data for compliance with a composite data rule. Computing artifacts can include a scope decision table, which includes rule antecedents of association rules in a composite data rule, and a condition decision table, which includes rule consequents of individual data rules in a composite data rule. Scope and condition expressions can be used with the scope decision table and the condition decision table, respectively, to generate a result indicating whether given data is in scope or whether the data item satisfied consequents in an individual data rule of the composite data rule if the composite data rule is in scope for the data.