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公开(公告)号：US20250094255A1
公开(公告)日：2025-03-20
申请号：US18965886
申请日：2024-12-02
Applicant: SAP SE
Inventor： Sai Hareesh Anamandra , Gopi Kishan , Kavitha Krishnan , Rohit Jalagadugula , Akash Srivastava
Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.
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公开(公告)号：US20240104153A1
公开(公告)日：2024-03-28
申请号：US17951320
申请日：2022-09-23
Applicant: SAP SE
Inventor： Gopi Kishan , Rohit Jalagadugula , Kavitha Krishnan , Sai Hareesh Anamandra , Akash Srivastava
IPC: G06F16/9536 , G06F16/9532 , G06F16/954
CPC classification number: G06F16/9536 , G06F16/9532 , G06F16/954 , G06F16/9538
Abstract: A method includes receiving, at a search toolbar, a search query from a machine in a network. The machine has an associated machine profile for participating in the network as an entity. The machine profile includes a machine identifier and machine metadata. A query type is determined from the search query. A search context for the machine is determined using a semantic graph of the network. From a set of services for the network, one or more relevant services to respond to the search query are identified based on the query type and the search context. The search query is applied to the one or more relevant services to obtain a set of responses. A set of relevant results for the search query is determined from the set of responses. The set of relevant results is transmitted to the machine.
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公开(公告)号：US12292914B2
公开(公告)日：2025-05-06
申请号：US18117284
申请日：2023-03-03
Applicant: SAP SE
Inventor： Rohit Jalagadugula , Kavitha Krishnan , Sai Hareesh Anamandra , Akash Srivastava , Gopi Kishan
IPC: G06F16/35 , G06F16/355 , G06F16/36 , G06F16/383
Abstract: A computer-implemented method can receive a message sent from a source entity, perform first pre-processing operations for verifying validity of the message, perform second pre-processing operations for determining a category of the message, extract metadata from the message, generate an enriched message comprising the metadata and the determined category, perform post-processing operations for classifying the enriched message into one of a plurality of event types, broadcast the enriched message to a message broker, and routing, by the message broker, the enriched message to one or more target entities registered an event type into which the message is classified.
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公开(公告)号：US20230096720A1
公开(公告)日：2023-03-30
申请号：US17486126
申请日：2021-09-27
Applicant: SAP SE
Inventor： Martin Wezowski , Hans-Martin Will , Rohit Jalagadugula , Kavitha Krishnan , Sai Hareesh Anamandra , Vinay George Roy , Parthasarathy Menon , Alexander Schaefer
IPC: G06Q10/06
Abstract: A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.
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公开(公告)号：US12159174B2
公开(公告)日：2024-12-03
申请号：US17948652
申请日：2022-09-20
Applicant: SAP SE
Inventor： Sai Hareesh Anamandra , Gopi Kishan , Kavitha Krishnan , Rohit Jalagadugula , Akash Srivastava
Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.
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Patent Agency Ranking
公开(公告)号：US20240296180A1
公开(公告)日：2024-09-05
申请号：US18117284
申请日：2023-03-03
Applicant: SAP SE
Inventor： Rohit Jalagadugula , Kavitha Krishnan , Sai Hareesh Anamandra , Akash Srivastava , Gopi Kishan
IPC: G06F16/35 , G06F16/36 , G06F16/383
CPC classification number: G06F16/355 , G06F16/367 , G06F16/383
Abstract: A computer-implemented method can receive a message sent from a source entity, perform first pre-processing operations for verifying validity of the message, perform second pre-processing operations for determining a category of the message, extract metadata from the message, generate an enriched message comprising the metadata and the determined category, perform post-processing operations for classifying the enriched message into one of a plurality of event types, broadcast the enriched message to a message broker, and routing, by the message broker, the enriched message to one or more target entities registered an event type into which the message is classified.
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公开(公告)号：US20240095105A1
公开(公告)日：2024-03-21
申请号：US17948652
申请日：2022-09-20
Applicant: SAP SE
Inventor： Sai Hareesh Anamandra , Gopi Kishan , Kavitha Krishnan , Rohit Jalagadugula , Akash Srivastava
Abstract: A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.
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公开(公告)号：US11853950B2
公开(公告)日：2023-12-26
申请号：US17486126
申请日：2021-09-27
Applicant: SAP SE
Inventor： Martin Wezowski , Hans-Martin Will , Rohit Jalagadugula , Kavitha Krishnan , Sai Hareesh Anamandra , Vinay George Roy , Parthasarathy Menon , Alexander Schaefer
IPC: G06Q10/0639 , G06Q10/067 , G06Q10/0633 , H04L67/50
CPC classification number: G06Q10/06398 , G06Q10/067 , G06Q10/0633 , H04L67/535
Abstract: A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.
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公开(公告)号：US20230131099A1
公开(公告)日：2023-04-27
申请号：US17508699
申请日：2021-10-22
Applicant: SAP SE
Inventor： Sai Hareesh Anamandra , Kavitha Krishnan , Rohit Jalagadugula , Parthasarathy Menon , Aditi D'Souza , Shrusti Mohanty , Lingyun Bu , Vinay George Roy
IPC: G06Q10/06 , G06N5/04 , G16H50/70 , G16H50/20 , G06Q10/10 , A61B5/11 , A61B5/0205 , A61B5/024 , A61B5/00
Abstract: A method may include training one or more machine learning models to predict a decline in employee performance. The machine learning models may be trained in a federated manner to avoid the exchange of personal data. The trained machine learning models may be applied to data associated with an employee that corresponds to one or more leading indicators of employee burnout. In response to the trained machine learning models predicting a decline in the performance of the employee, the root causes of the predicted decline in the performance of the employee may be identified by applying an explainability algorithm such as Shapley Additive Explanations (SHAP). A report including a corrective action for the predicted decline in employee performance may be generated based on the root causes. Related systems and computer program products are also provided.
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公开(公告)号：US20240296460A1
公开(公告)日：2024-09-05
申请号：US18117234
申请日：2023-03-03
Applicant: SAP SE
Inventor： Gopi Kishan , Kavitha Krishnan , Rohit Jalagadugula , Sai Hareesh Anamandra , Akash Srivastava
IPC: G06Q30/018 , G06Q10/0875
CPC classification number: G06Q30/018 , G06Q10/0875
Abstract: A computer-implemented method can instantiate a net graph based on one or more existing bills of materials for one or more known entities. The net graph includes a plurality of interconnected nodes representing different objects included in the one or more known entities, and the one or more existing bill of materials define relationship between the objects. The method can determine carbon footprint values of the objects represented by the nodes, collect vectors of object features and carbon footprint values corresponding to selected nodes in the net graph, train a machine learning model using the collected vectors of object features and the carbon footprint values corresponding to the selected nodes, receiving a request associated with a target entity different from the one or more known entities, and responsive to the request, generate an estimated carbon footprint value for the target entity based on the machine learning model.
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