SAP SE patent applications on April 24th, 2025
Patent Applications by SAP SE on April 24th, 2025
SAP SE: 14 patent applications
SAP SE has applied for patents in the areas of G06F16/901 (2), G06F11/36 (2), G06F16/2455 (2), G06F21/62 (2), G06F16/36 (2) G06F16/367 (2), G06F9/451 (1), G06F11/079 (1), G06F11/3688 (1), G06F11/3692 (1)
With keywords such as: data, query, application, based, event, access, server, list, computer, and subscription in patent application abstracts.
Patent Applications by SAP SE
20250130823. CONTEXT-AWARE PERSONAL APPLICATION MEMORY_simplified_abstract_(sap se)
Inventor(s): Peter Eberlein of Malsch DE for sap se, Volker Driesen of Heidelberg DE for sap se
IPC Code(s): G06F9/451, G06F3/0484, G06F40/40
CPC Code(s): G06F9/451
Abstract: in a computer-implemented method for a context-aware personal application memory (pam), using an application memory interface (amif) and to create captured data from one or more software applications, data related to user actions with the one or more software applications is captured. using the amif and to create enhanced data, the captured data is enhanced with metadata, data, and semantic relations. using the amif and to create filtered data, the enhanced data is filtered. the filtered data is sent by the amif to a personal application memory (pam).
Inventor(s): Gaoquan WO of Shanghai CN for sap se, Xiaowei LIAO of Shanghai CN for sap se
IPC Code(s): G06F11/07, G06N20/00
CPC Code(s): G06F11/079
Abstract: systems and methods include reception of time-series data of a metric for each of a plurality of computer servers, determination, for each computer server, of a representative value of the metric based on the time-series data of the metric for the computer server, determination, for each computer server, of a fluctuation value of the metric based on the time-series data of the metric for the computer server, determination of a standard value of the metric based on the determined representative values, determination of a standard fluctuation value based on the determined fluctuation values, determination, for each computer server, of a difference value based on a difference between the standard value and the representative value for the computer server and a difference between the standard fluctuation value and the fluctuation value for the computer server; and identification of one or more anomalous computer servers based on the difference values.
Inventor(s): David Leo Joseph of Bangalore IN for sap se
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3688
Abstract: techniques for automating a software application subscription process are presented herein. in an example, in response to receiving a subscription request from a client device, a subscription automator extracts a plurality of parameters from the subscription request. also, the subscription automator retrieves a given script template from an automation framework, where the given script template corresponds to a given cloud service application to which one or more users wish to subscribe. the subscription automator generates an executable script by populating the first script template with the plurality of parameters. next, the subscription automator causes the first executable script to be executed to initiate a subscription process of the given cloud service application. then, the subscription automator creates subscriptions to the given cloud service application for the one or more users as a result of initiating the subscription process.
20250130931. AUTOMATIC TEST AUTOMATION CLASSIFICATION_simplified_abstract_(sap se)
Inventor(s): Christian LEHMANN of Rauenberg DE for sap se, Sara KUHN of Rauenberg DE for sap se
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3692
Abstract: according to some embodiments, systems and methods are provided including executing a test, wherein the test evaluates a single object class; receiving a list of objects accessed by the test, wherein a test level classification is absent for each object included in the list; excluding one or more objects from the list of objects based on the object's inclusion in an exclusion object class; assigning the test level classification to the test based on the one or more non-excluded objects from the list; and storing the assigned test level classification with a test identifier. numerous other aspects are provided.
20250130991. DATABASE QUERY GENERATION WITH DISCRETE TRAINING DATA_simplified_abstract_(sap se)
Inventor(s): Giancarlo FRISON of Mammendorf DE for sap se
IPC Code(s): G06F16/242, G06F16/2455, G06N5/022
CPC Code(s): G06F16/242
Abstract: various examples are directed to systems and methods for generating a query of a database. an example method may comprise accessing a knowledge base data structure comprising plurality of nodes and a plurality of edges and accessing a plurality of training samples comprising a plurality of positive training samples and a plurality of negative training samples. the example method may also comprise determining a subgraph comprising a subset of the plurality of nodes and a subset of the plurality of edges, the subset of the plurality of nodes comprising at least two nodes that are also part of the plurality of training samples and executing a subgraph query of the knowledge base data structure, the subgraph query being based at least in part on the subgraph.
Inventor(s): Jaehyok Chong of Seoul KR for sap se, Young Goo Cho of Seoul KR for sap se
IPC Code(s): G06F16/2453, G06F16/2455, G06F16/2457
CPC Code(s): G06F16/24542
Abstract: techniques and solutions are provided for improved query optimization, including for sub-portions of a query plan. a query is submitted to an inline query optimizer and at least one auxiliary query optimizer. the query is optimized by the inline query optimizer and the auxiliary query optimizer. a query processor can evaluate costs associated with query plans produced by the inline query optimizer and the auxiliary query optimizer and select a plan for execution that is most performant.
20250131030. AUTOMATED ONTOLOGY CREATION_simplified_abstract_(sap se)
Inventor(s): Jan Portisch of Bruchsal DE for sap se, Sandra Bracholdt of Dielheim DE for sap se
IPC Code(s): G06F16/36, G06F16/901
CPC Code(s): G06F16/367
Abstract: properties for an ontology, such as used for semantic query execution, automated analytical reasoning, or for machine learning, are determined using instance graphs. a corpus of documents is received, representing a plurality of domain instances of a domain. instance graphs are generated for instances of the plurality of instance graphs to provide a plurality of instance graphs. properties represented in the plurality of instance graphs are determined. at least a portion of the properties are assigned to an ontology for the domain.
20250131031. AUTOMATED ONTOLOGY CREATION_simplified_abstract_(sap se)
Inventor(s): Jan Portisch of Bruchsal DE for sap se, Sandra Bracholdt of Deilheim DE for sap se
IPC Code(s): G06F16/36, G06F16/901
CPC Code(s): G06F16/367
Abstract: class definitions for an ontology of a domain are determined using a materialized instance graph, where the ontology is used for semantic query execution, automated analytical reasoning, or for machine learning. a plurality of instances graphs for a respective plurality of domain instances are received. a materialized instance graph is generated from the plurality of instance graphs. one or more communities represented in the materialized instance graph are determined. properties associated with respective communities of the one or more communities are determined. class definitions are generated, where a class corresponds to a community of the one or more communities and at least a portion of properties associated with the community. class definitions are assigned to the ontology for the domain.
Inventor(s): Guilherme COSTA of Lisboa PT for sap se, Jan PORTISCH of Bruchsal DE for sap se, Michael HLADIK of Walldorf DE for sap se
IPC Code(s): G06F21/55
CPC Code(s): G06F21/554
Abstract: aspects relate to a computer implemented method, computer-readable media and a computer system for detecting data leakage and/or detecting dangerous information. the method comprises receiving a knowledge graph and extracting data from at least one network service. the method further comprises identifying statements in the extracted data. for each identified statement, the method further comprises determining whether the identified statement is public or private using the knowledge graph, and/or determining whether the identified statement is true or false using the knowledge graph.
20250131109. ENABLING ACCESS CONTROL FOR ARCHIVED OBJECTS_simplified_abstract_(sap se)
Inventor(s): Horst Schaude of Kraichtal DE for sap se
IPC Code(s): G06F21/60, G06F21/31, G06F21/62
CPC Code(s): G06F21/604
Abstract: a computer-implemented method may comprise: receiving, from a software application, a first request to retrieve archived data from an archive, the first request being associated with a user of the software application; obtaining the archived data in a first format from the archive; transforming the archived data from the first format into a second format; extracting access control data from the archived data in the second format, the access control data defining one or more criteria for accessing the archived data; injecting the access control data into an access management system that is configured to control access to non-archived data; subsequent to the injecting the access control data, sending, to the access management system, a second request to evaluate access rights of the user; and based on the access management system evaluating the access rights of the user, sending the archived data in the second format to the software application.
20250131125. TEST ENVIRONMENT PRIVACY MANAGEMENT SYSTEM_simplified_abstract_(sap se)
Inventor(s): Khaled Kammoun of Dielheim DE for sap se, Rolf Eiling of Heidelberg DE for sap se, Mohammad Nabeel Siddiqui of Atlanta GA US for sap se, Saurabh Suman Choudhuri of Cumming GA US for sap se
IPC Code(s): G06F21/62
CPC Code(s): G06F21/6254
Abstract: systems and methods are provided for generating a combined list of attributes for at least one selected object by combining known attributes and a list of attributes for custom tables, determining a scrambling method for each attribute in the combined list of attributes for the at least one selected object, and scrambling each attribute of the combined list of attributes for the at least one selected object, according to the scrambling method for each attribute. the systems and methods further provided for generating a compliance report indicating what was changed in a system by the scrambling of each attribute and what scrambling methods were applied and allowing release of production data comprising the scrambled attributes for the at least one selected object, to a test system for use in testing functionality for an application or service.
20250131372. STANDARDIZED EVENT HANDLING FOR SENSOR INSTALLATIONS_simplified_abstract_(sap se)
Inventor(s): Ulrich Bestfleisch of Speyer DE for sap se, Michael Hildebrand of Mannheim DE for sap se
IPC Code(s): G06Q10/087, G06F16/23
CPC Code(s): G06Q10/087
Abstract: systems and methods described herein relate to an event handling platform for sensor installations. an event message is received from an identified sensor installation. the identified sensor installation is associated with a facility. the event message is indicative of an event detected by the identified sensor installation. the event is validated against a schema of an identified event type from among a plurality of event types by comparing the event message to metadata of the identified event type. the metadata may be stored in an event metadata repository. the event message is transmitted to a software application associated with the facility to trigger an event reaction. based on the event reaction, status data for the facility is caused to be presented at a user device accessing the software application.
20250131761. DETECTING TABLES IN DOCUMENTS_simplified_abstract_(sap se)
Inventor(s): Marek Polewczyk of Berlin DE for sap se, Marco Spinaci of Versailles FR for sap se
IPC Code(s): G06V30/416, G06V30/10, G06V30/412
CPC Code(s): G06V30/416
Abstract: various examples are directed to systems and methods for determining table data from a document image depicting a plurality of words and at least one table comprising at least a portion of the plurality of words. for example, optical character recognition (ocr) data may be determined based on the document image. a table detection model may be executed based at least in part on the ocr data.
20250133073. DATA CLASSIFICATION FRAMEWORK_simplified_abstract_(sap se)
Inventor(s): Sateesh Babu Chilamakuri of Tirupati IN for sap se, Sathya G of Ernakulam IN for sap se
IPC Code(s): H04L9/40, G06F16/906
CPC Code(s): H04L63/083
Abstract: systems and processes for managing and applying data classification labels are provided. in a method for managing data classification labels, a request may be received from a client application to fetch data classification labels from a policy server. authentication information may be retrieved and passed to the policy server, and an access token may be received from the policy server based on a rights check performed using the authentication information. the access token may be provided to an interface for the policy server for use in generating a request for a list of data classification labels accessible via the access token, and the list of data classification labels may be received. output data usable by the client application to generate a presentation of the list of data classification labels for selection by a user of the client application to classify data managed by the client application may be generated.
- SAP SE
- G06F9/451
- G06F3/0484
- G06F40/40
- CPC G06F9/451
- Sap se
- G06F11/07
- G06N20/00
- CPC G06F11/079
- G06F11/36
- CPC G06F11/3688
- CPC G06F11/3692
- G06F16/242
- G06F16/2455
- G06N5/022
- CPC G06F16/242
- G06F16/2453
- G06F16/2457
- CPC G06F16/24542
- G06F16/36
- G06F16/901
- CPC G06F16/367
- G06F21/55
- CPC G06F21/554
- G06F21/60
- G06F21/31
- G06F21/62
- CPC G06F21/604
- CPC G06F21/6254
- G06Q10/087
- G06F16/23
- CPC G06Q10/087
- G06V30/416
- G06V30/10
- G06V30/412
- CPC G06V30/416
- H04L9/40
- G06F16/906
- CPC H04L63/083