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公开(公告)号：US20220058177A1
公开(公告)日：2022-02-24
申请号：US17000017
申请日：2020-08-21
Applicant: SAP SE
Inventor： Anubhav Bhatia , Patrick Brose , Lukas Carullo , Martin Weiss , Leonard Brzezinski
Abstract: Techniques for processing sensor data are provided. Sensor data, such as individual messages or data points from devices having one or more hardware sensors, can be annotated with one or more metadata elements to facilitate sensor data processing. An annotation rule for sensor data can be determined and sensor data annotated according to the annotation rule. Sensor data can be written to a relational database table, where the table has a schema that provides columns for storing data for particular indicators of an indicator group having a plurality of indicators.
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公开(公告)号：US11645247B2
公开(公告)日：2023-05-09
申请号：US17000057
申请日：2020-08-21
Applicant: SAP SE
Inventor： Anubhav Bhatia , Patrick Brose , Lukas Carullo , Martin Weiss , Leonard Brzezinski
IPC: G06F16/21 , G06F16/22 , G06F16/2455 , G06F16/25 , G06F16/178
CPC classification number: G06F16/213 , G06F16/1794 , G06F16/2282 , G06F16/2456 , G06F16/258
Abstract: Techniques and solutions are provided for integrating master data from multiple applications. Master data from multiple applications can be integrated for use in processing data associated with internet of things (IOT) devices, such as by joining master data with timeseries data (including aggregated values). Integrating master data from multiple applications can include converting master data from a schema used by an application into an analytics schema. New or updated master data can be indicated in a message sent by an application. In processing the message, additional master data, or data used to determine how master data should be processed, can be retrieved.
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公开(公告)号：US11514119B2
公开(公告)日：2022-11-29
申请号：US16864816
申请日：2020-05-01
Applicant: SAP SE
Inventor： Anubhav Bhatia , Martin Weiss , Oliver Mainka , Ankit Shivhare , Rajarshi Ghosh , Lauren McMullen
IPC: G06F16/9535 , G06F16/9538 , G06F16/901 , G06F16/2453 , G06F16/242
Abstract: A global filter allows data filtering using attributes across multiple Analysis Tools (ATs), by broadcasting semantic filter context objects. Upon selecting object attribute values, the filter context object is created with attribute names and values. A processing engine resolves the filter context object to a data object, and then subsequently to target data. A lateral filter finds related entities in a relational database, without having to maintain and/or duplicate all of the data into a graph database. The processing engine resolves lateral filters using an entity graph path calculation conducted in conjunction with the generation of a bootstrapped graph structure. That graph structure is constructed (bootstrapped) utilizing available database schematic information—e.g., pre-calculated (key) relations and metadata read from the relational database. From that information, relationships in the bootstrapped graph structure are determined. Possible paths between entities are used to generate an optimized SQL query to reach target data.
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公开(公告)号：US20200159203A1
公开(公告)日：2020-05-21
申请号：US16276876
申请日：2019-02-15
Applicant: SAP SE
Inventor： Rashmi Shetty B , Leonard Brzezinski , Lauren McMullen , Harpreet Singh , Karthik Mohan Mokashi , Simon Lee , Lukas Carullo , Martin Weiss , Patrick Brose , Anubhav Bhatia
IPC: G05B23/02
Abstract: Provided is a system and method for predicting leading indicators for predicting occurrence of an event at a target asset. Rather than rely on traditional manufacturer-defined leading indicators for an asset, the examples herein predict leading indicators for a target asset based on actual operating conditions at the target asset. Accordingly, unanticipated operating conditions can be considered. In one example, the method may include receiving operating data of a target resource, the operating data being associated with previous occurrences of an event at the target resource, predicting one or more leading indicators of the event at the target resource based on the received operating data, each leading indicator comprising a variable and a threshold value for the variable, and outputting information about the one or more predicted leading indicators of the target resource for display via a user interface.
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公开(公告)号：US11496584B2
公开(公告)日：2022-11-08
申请号：US16211807
申请日：2018-12-06
Applicant: SAP SE
Inventor： Daniel Huber , Srikanth Grandhe , Emese Borbala Baliko , Sri Vidah A N , Yogesh Beria , Anubhav Bhatia , Lukas Carullo , Martin Weiss , Patrick Brose , Markus Krabel
Abstract: A data container for a content package comprising one or more semantics for populating the content package with selected types of information associated with a product or service is received by a computing device of a digital services framework. An organizational structure between and within networked tenants of the digital services framework is analyzed to identify one or more recipients for the content package. A data topology associated with the product or service is analyzed to generate announcements indicative of individualized content packages for the identified recipients for the content package. The announcements are sent to the identified recipients. Requests are received for subscriptions to the content package. Based on the analysis of the organizational structure and data topology and user-defined rules and semantics, instances of the container are selectively populating for tenants who have subscribed to the content package. The populated instances of the content package are sent to the subscribed users based on distribution data flows that are identified based at least in part on the analysis of the topological relationships and hierarchical structures.
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Patent Agency Ranking
公开(公告)号：US20210342409A1
公开(公告)日：2021-11-04
申请号：US16864816
申请日：2020-05-01
Applicant: SAP SE
Inventor： Anubhav Bhatia , Martin Weiss , Oliver Mainka , Ankit Shivhare , Rajarshi Ghosh , Lauren McMullen
IPC: G06F16/9535 , G06F16/901 , G06F16/9538
Abstract: A global filter allows data filtering using attributes across multiple Analysis Tools (ATs), by broadcasting semantic filter context objects. Upon selecting object attribute values, the filter context object is created with attribute names and values. A processing engine resolves the filter context object to a data object, and then subsequently to target data. A lateral filter finds related entities in a relational database, without having to maintain and/or duplicate all of the data into a graph database. The processing engine resolves lateral filters using an entity graph path calculation conducted in conjunction with the generation of a bootstrapped graph structure. That graph structure is constructed (bootstrapped) utilizing available database schematic information—e.g., pre-calculated (key) relations and metadata read from the relational database. From that information, relationships in the bootstrapped graph structure are determined. Possible paths between entities are used to generate an optimized SQL query to reach target data.
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公开(公告)号：US20210342336A1
公开(公告)日：2021-11-04
申请号：US16864785
申请日：2020-05-01
Applicant: SAP SE
Inventor： Anubhav Bhatia , Martin Weiss , Oliver Mainka , Ankit Shivhare , Rajarshi Ghosh , Lauren McMullen
IPC: G06F16/248 , G06F16/21 , G06F16/901 , G06F16/28
Abstract: A global filter allows data filtering using attributes across multiple Analysis Tools (ATs), by broadcasting semantic filter context objects. Upon selecting object attribute values, the filter context object is created with attribute names and values. A processing engine resolves the filter context object to a data object, and then subsequently to target data. A lateral filter finds related entities in a relational database, without having to maintain and/or duplicate all of the data into a graph database. The processing engine resolves lateral filters using an entity graph path calculation conducted in conjunction with the generation of a bootstrapped graph structure. That graph structure is constructed (bootstrapped) utilizing available database schematic information—e.g., pre-calculated (key) relations and metadata read from the relational database. From that information, relationships in the bootstrapped graph structure are determined. Possible paths between entities are used to generate an optimized SQL query to reach target data.
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公开(公告)号：US11461349B2
公开(公告)日：2022-10-04
申请号：US16864785
申请日：2020-05-01
Applicant: SAP SE
Inventor： Anubhav Bhatia , Martin Weiss , Oliver Mainka , Ankit Shivhare , Rajarshi Ghosh , Lauren McMullen
IPC: G06F16/21 , G06F16/248 , G06F16/28 , G06F16/901
Abstract: A global filter allows data filtering using attributes across multiple Analysis Tools (ATs), by broadcasting semantic filter context objects. Upon selecting object attribute values, the filter context object is created with attribute names and values. A processing engine resolves the filter context object to a data object, and then subsequently to target data. A lateral filter finds related entities in a relational database, without having to maintain and/or duplicate all of the data into a graph database. The processing engine resolves lateral filters using an entity graph path calculation conducted in conjunction with the generation of a bootstrapped graph structure. That graph structure is constructed (bootstrapped) utilizing available database schematic information—e.g., pre-calculated (key) relations and metadata read from the relational database. From that information, relationships in the bootstrapped graph structure are determined. Possible paths between entities are used to generate an optimized SQL query to reach target data.
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公开(公告)号：US11262743B2
公开(公告)日：2022-03-01
申请号：US16276876
申请日：2019-02-15
Applicant: SAP SE
Inventor： Rashmi Shetty B , Leonard Brzezinski , Lauren McMullen , Harpreet Singh , Karthik Mohan Mokashi , Simon Lee , Lukas Carullo , Martin Weiss , Patrick Brose , Anubhav Bhatia
IPC: G05B23/02
Abstract: Provided is a system and method for predicting leading indicators for predicting occurrence of an event at a target asset. Rather than rely on traditional manufacturer-defined leading indicators for an asset, the examples herein predict leading indicators for a target asset based on actual operating conditions at the target asset. Accordingly, unanticipated operating conditions can be considered. In one example, the method may include receiving operating data of a target resource, the operating data being associated with previous occurrences of an event at the target resource, predicting one or more leading indicators of the event at the target resource based on the received operating data, each leading indicator comprising a variable and a threshold value for the variable, and outputting information about the one or more predicted leading indicators of the target resource for display via a user interface.
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公开(公告)号：US20200186619A1
公开(公告)日：2020-06-11
申请号：US16211807
申请日：2018-12-06
Applicant: SAP SE
Inventor： Daniel Huber , Srikanth Grandhe , Emese Borbala Baliko , Sri Vidah A N , Yogesh Beria , Anubhav Bhatia , Lukas Carullo , Martin Weiss , Patrick Brose , Markus Krabel
IPC: H04L29/08
Abstract: A data container for a content package comprising one or more semantics for populating the content package with selected types of information associated with a product or service is received by a computing device of a digital services framework. An organizational structure between and within networked tenants of the digital services framework is analyzed to identify one or more recipients for the content package. A data topology associated with the product or service is analyzed to generate announcements indicative of individualized content packages for the identified recipients for the content package. The announcements are sent to the identified recipients. Requests are received for subscriptions to the content package. Based on the analysis of the organizational structure and data topology and user-defined rules and semantics, instances of the container are selectively populating for tenants who have subscribed to the content package. The populated instances of the content package are sent to the subscribed users based on distribution data flows that are identified based at least in part on the analysis of the topological relationships and hierarchical structures.
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