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公开(公告)号：US11409520B2
公开(公告)日：2022-08-09
申请号：US16511507
申请日：2019-07-15
Applicant: SAP SE
Inventor： Thirumaleshwar Kunamalla , Krishna Hindhupur Vijay Sudheendra , Panish Ramakrishna , Debashis Banerjee , Hemanth Rajeswari Anantha , Hari Babu Krishnan , Balaji Raghunathan
Abstract: A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.
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公开(公告)号：US11176324B2
公开(公告)日：2021-11-16
申请号：US16584420
申请日：2019-09-26
Applicant: SAP SE
Inventor： Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna , Rajendra Vuppala , Erica Vandenhoek
IPC: G06F40/295 , G06F40/177 , G06F40/49 , G06K9/62
Abstract: The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.
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公开(公告)号：US20210304298A1
公开(公告)日：2021-09-30
申请号：US16831430
申请日：2020-03-26
Applicant: SAP SE
Abstract: Various examples are directed to systems and methods for managing a computerized event platform. The computerized event platform may receive participant data describing a plurality of historical bids from a plurality of historical events and generate a set of recommended participants to participate in an event to provide a first item.
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公开(公告)号：US10521444B2
公开(公告)日：2019-12-31
申请号：US15386988
申请日：2016-12-21
Applicant: SAP SE
Inventor： Hemanth Rajeswari Anantha , Prithvi Krishna , Panish Ramakrishna
IPC: G06F16/248 , G06F16/951 , H04L29/08
Abstract: Example embodiments for accessing data are described. In an example embodiment, a request is received for a data record including multiple data fields. Based on location information for each field from a metadata file, each field of a first portion of the multiple fields is retrieved from a local data store, with each of the fields of the first portion having a corresponding size less than a threshold size. Each retrieved field of the first portion may be presented to a user, along with a field indicator for at least one field of a second portion of the multiple fields, with each of the fields of the second portion having a corresponding size at least as large as the threshold size. In response to a selection of the field indicator, at least one field of the second portion may be retrieved and presented to the user.
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公开(公告)号：US20180322185A1
公开(公告)日：2018-11-08
申请号：US15584195
申请日：2017-05-02
Applicant: SAP SE
Inventor： Ashutosh Patel , Rahul Seshagiri Srivatsa , Panish Ramakrishna , Debashis Banerjee
IPC: G06F17/30
CPC classification number: G06F17/30598 , G06F17/30386 , G06F17/30705 , G06F17/30707 , G06F17/30713 , G06F17/30867
Abstract: Example embodiments for classification are described. In an example embodiment, a request including a text term to be classified is received from a source system via a communication network at a computer system. A rule associated with the text term is accessed, in which the rule indicates at least one classifier of a plurality of classifiers installed at the computer system. Classification information for the text term is generated at the computer system using the at least one classifier indicated by the rule. The generated classification information includes a classification selected from a taxonomy by the at least one classifier. The generated classification information is transmitted via the communication network to the source system.
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Patent Agency Ranking
公开(公告)号：US20240168969A1
公开(公告)日：2024-05-23
申请号：US18057674
申请日：2022-11-21
Applicant: SAP SE
Inventor： Anis Kasmani , Panish Ramakrishna , Prithvi Krishna Thodla Chandrasekhar , Arasan Rajendren , Sriram Narasimhan
IPC: G06F16/25 , G06F16/23 , G06F16/2455
CPC classification number: G06F16/254 , G06F16/2379 , G06F16/2455
Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may receive a request to extract data for a first entity type. The program may, in response to the request, determine a subset of a plurality of data extraction configurations associated with the first entity type. The program may, for each data extraction configuration in the subset of the plurality of data extraction configurations, process the data extraction configuration based on a set of transaction data to generate a set of data, the set of data comprising a first set of data included in a set of instances of the first entity type and a second set of data included in a set of instances of a second entity type.
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公开(公告)号：US11556553B2
公开(公告)日：2023-01-17
申请号：US17108915
申请日：2020-12-01
Applicant: SAP SE
Inventor： Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna
IPC: G06F7/00 , G06F16/2458 , G06F16/242 , G06F40/30 , G06N20/00 , G06K9/62 , G06F16/28
Abstract: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.
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28.发明申请公开(公告)号：US20220318687A1
公开(公告)日：2022-10-06
申请号：US17223859
申请日：2021-04-06
Applicant: SAP SE
Inventor： Nithya Rajagopalan , Panish Ramakrishna , Ashutosh Patel , Ranjith Pavanje Raja Rao , Mayank Kamboj , Arjun Swami
Abstract: In an example embodiment, a model generation component may additionally assign various cloud resources to a machine learned model so that the training or retraining of the model can be performed using these resource. The containers may be weighted to handle model generation work of different weight. Having one single configuration for a container responsible for generating all models leads to overuse of hardware resources because machine learning algorithms are very resource intensive, and thus dynamically selecting the weight improves hardware utilization.
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公开(公告)号：US20220171777A1
公开(公告)日：2022-06-02
申请号：US17108915
申请日：2020-12-01
Applicant: SAP SE
Inventor： Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna
IPC: G06F16/2458 , G06F16/242 , G06F16/28 , G06N20/00 , G06K9/62 , G06F40/30
Abstract: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.
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公开(公告)号：US11294906B2
公开(公告)日：2022-04-05
申请号：US16432196
申请日：2019-06-05
Applicant: SAP SE
Inventor： Ashutosh Patel , Panish Ramakrishna , Nithya Rajagopalan
IPC: G06F16/245 , G06F16/2455 , G06F16/22 , G06F16/901 , G06F16/903 , G06F16/2457
Abstract: Various examples are directed to systems and methods for identifying database records in a database table. A database management system receives a search request comprising a first set of strings associated with a first column of the database table and a second set of strings associated with a second column of the database table. The database management system selects a set of first column keywords using the first set of strings and executes a first tier query at the database table. Responsive to determining that no database record returned by the first tier query has a relevance score greater than a threshold value, the database management system executes a second tier query at the database table.
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