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公开(公告)号:US10963480B2
公开(公告)日:2021-03-30
申请号:US15587952
申请日:2017-05-05
Applicant: SAP SE
Inventor: Apoorv Bhargava , Madathiveetil Bipin , Markus Schmidt-Karaca , Ismail Basha , Gonda Marcusse , Anthony Arun B , Vishnu Kare , Naveed Mohammed
Abstract: Methods, systems, and computer program products for a database processing system are described. A core database comprises common procedures for processing information, at least one of the common procedures configured to provide a common functionality to an analysis application. A content import database comprises content-specific procedures, at least one of the content-specific procedures configured to provide access for at least one of the common procedures to content of the content import database that conforms to a content-specific data model.
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公开(公告)号:US10097562B2
公开(公告)日:2018-10-09
申请号:US15148165
申请日:2016-05-06
Applicant: SAP SE
Inventor: Apoorv Bhargava , Aswin Kumar Jayaraman , Raghavendra Rao M G , Naveed Mohammed , Markus Schmidt-Karaca
Abstract: A system includes reception, at a server and in a first browser session, of a request from a client for a token to access a first software service, determination of a token stored in a server memory of the server and associated with the first service and the client, determination, at the server, of whether a validity period of the token is within a predetermined period of expiration, and, if it is determined that the validity period of the token is within a predetermined period of expiration, transmission of a request for a new token to access the first software service from a token provider associated with the first service, reception of the new token from the token provider, and provision of the new token to the client in the first browser session.
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公开(公告)号:US20170324749A1
公开(公告)日:2017-11-09
申请号:US15148165
申请日:2016-05-06
Applicant: SAP SE
Inventor: Apoorv Bhargava , Aswin Kumar Jayaraman , Raghavendra Rao M G , Naveed Mohammed , Markus Schmidt-Karaca
CPC classification number: H04L63/108 , H04L63/062 , H04L63/068 , H04L63/123 , H04L67/02
Abstract: A system includes reception, at a server and in a first browser session, of a request from a client for a token to access a first software service, determination of a token stored in a server memory of the server and associated with the first service and the client, determination, at the server, of whether a validity period of the token is within a predetermined period of expiration, and, if it is determined that the validity period of the token is within a predetermined period of expiration, transmission of a request for a new token to access the first software service from a token provider associated with the first service, reception of the new token from the token provider, and provision of the new token to the client in the first browser session.
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公开(公告)号:US20240152781A1
公开(公告)日:2024-05-09
申请号:US18102798
申请日:2023-01-30
Applicant: SAP SE
Inventor: Markus Schmidt-Karaca , Wolfgang Nobeling , Michael Hoerisch
IPC: G06N5/04
CPC classification number: G06N5/04
Abstract: The example embodiments are directed to a host system that can convert human-readable rules (e.g., statutes, regulations, laws, etc.) into a semantic model. The host system can then apply the semantic model to a set of circumstances to determine whether and how the rule applies to the circumstances. In one example, the method may include storing a knowledge graph with a semantic model of a rule embodied therein with nodes representing entities within the rule, edges between the nodes representing relationships between the entities, and identifiers of an input data set used by the rule, receiving input data corresponding to the rule, generating a determination from the rule via execution of the semantic model embodied within the knowledge graph on the received input data, and displaying a notification of the determination via a user interface.
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公开(公告)号:US11580440B2
公开(公告)日:2023-02-14
申请号:US15368007
申请日:2016-12-02
Applicant: SAP SE
Inventor: Markus Schmidt-Karaca
IPC: G06N20/00 , G06Q50/26 , G06Q10/10 , G06Q10/06 , G06Q10/0637
Abstract: Methods, computer-readable media and systems are disclosed for building, deploying, operating, and maintaining an intelligent dynamic form in which a trained machine learning (ML) model is embedded. A universe of questions is associated with a plurality of output classifiers, which could represent eligibilities for respective benefits. The questions are partitioned into blocks. Each block can be associated with one or more of the classifiers, and each classifier can have a dependency on one or more blocks. An ML model is trained to make inferences from varied combinations of responses to questions and pre-existing data, and determine probabilities or predictions of values of the output classifiers. Based on outputs of the trained model, blocks of questions can be selectively rendered. The trained model is packaged with the question blocks and other components suitably for offline deployment. Uploading collected responses and maintenance of the dynamic form are also disclosed.
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公开(公告)号:US10474664B2
公开(公告)日:2019-11-12
申请号:US15454470
申请日:2017-03-09
Applicant: SAP SE
Inventor: Apoorv Bhargava , Markus Schmidt-Karaca , Raghavendra Rao M G , Naveed Mohammed B , Aswin Kumar Jayaraman
Abstract: Methods and systems are disclosed for flexibly managing lock modes in a data-sharing environment, including optimistic and pessimistic lock modes. A lock mode determination service receives a request from an application instance for a lock mode with which to access specified data objects. The service can determine and provide a suitable lock mode based on a context of the application, and optionally other parameters, by evaluating a checklist of criteria sorted in precedential order. Criteria can include geo-boundaries, platform, role, and others. The requesting application instance uses the determined lock mode to access the data, with optional assistance of a lock service. The lock mode determination service can support one or more applications having one or more instances each, and can also support multiple disjoint data-sharing environments. Suitable environments include cloud, datacenter, mobile, client-server, and SAAS.
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公开(公告)号:US20180322177A1
公开(公告)日:2018-11-08
申请号:US15587952
申请日:2017-05-05
Applicant: SAP SE
Inventor: Apoorv Bhargava , Madathiveetil Bipin , Markus Schmidt-Karaca , Ismail Basha , Gonda Marcusse , Anthony Arun B , Vishnu Kare , Naveed Mohammed
IPC: G06F17/30
CPC classification number: G06F17/30563 , G06F17/303 , G06F17/3056 , G06F17/30917
Abstract: Methods, systems, and computer program products for a database processing system are described. A core database comprises common procedures for processing information, at least one of the common procedures configured to provide a common functionality to an analysis application. A content import database comprises content-specific procedures, at least one of the content-specific procedures configured to provide access for at least one of the common procedures to content of the content import database that conforms to a content-specific data model.
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公开(公告)号:US11567930B2
公开(公告)日:2023-01-31
申请号:US15497106
申请日:2017-04-25
Applicant: SAP SE
Inventor: Apoorv Bhargava , Madathiveetil Bipin , Markus Schmidt-Karaca , Ismail Basha , Gonda Marcusse , Vishnu Kare , Praveen Kumar , Neenu Vincent
IPC: G06F16/242 , G06F21/62 , G06F16/245 , G06F16/2453 , G06F16/2457 , G06F16/2458 , G06F16/9032
Abstract: Methods and systems are disclosed for data retrieval, from databases to clients, in an environment requiring runtime authorization. In response to a request for T data records, a learning module provides a prediction R of a suitable number of data records to retrieve from a database. Following retrieval of R records or record identifiers, authorization is sought from an authorization service, resulting in A of the records being authorized. The A authorized records are returned to the requesting client, and, if more records are needed, T is decremented and the cycle is repeated. A performance notification is provided to the learning module for training, with respect to providing values of prediction R. The performance notification can be based on a measure of authorization service performance, the number A of authorized records, latency, communication or resource costs, a measure of resource congestion, or other parameters. Variants are disclosed.
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公开(公告)号:US20180260429A1
公开(公告)日:2018-09-13
申请号:US15454470
申请日:2017-03-09
Applicant: SAP SE
Inventor: Apoorv Bhargava , Markus Schmidt-Karaca , Raghavendra Rao M G , Naveed Mohammed B , Aswin Kumar Jayaraman
IPC: G06F17/30
CPC classification number: G06F16/2343 , G06F9/526
Abstract: Methods and systems are disclosed for flexibly managing lock modes in a data-sharing environment, including optimistic and pessimistic lock modes. A lock mode determination service receives a request from an application instance for a lock mode with which to access specified data objects. The service can determine and provide a suitable lock mode based on a context of the application, and optionally other parameters, by evaluating a checklist of criteria sorted in precedential order. Criteria can include geo-boundaries, platform, role, and others. The requesting application instance uses the determined lock mode to access the data, with optional assistance of a lock service. The lock mode determination service can support one or more applications having one or more instances each, and can also support multiple disjoint data-sharing environments. Suitable environments include cloud, datacenter, mobile, client-server, and SAAS.
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公开(公告)号:US20180114135A1
公开(公告)日:2018-04-26
申请号:US15333745
申请日:2016-10-25
Applicant: SAP SE
Inventor: Markus Schmidt-Karaca
CPC classification number: G06Q10/0637 , G06N5/025
Abstract: A specification of the process model is received. The process model includes a plurality of process components. A relationship between a first process component and another process component of the plurality of process components is determined using a predictive model. A process rule for the first process component is determined. The process rule specified a second process component to be executed. The process rule includes the relationship determined using the predictive model or a heuristic rule. The second process component is executed according to the process rule.
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