公开(公告)号：US20240184764A1

公开(公告)日：2024-06-06

申请号：US18410250

申请日：2024-01-11

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt

IPC: G06F16/22 ,  G06F11/34 ,  G06F16/21 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/28 ,  G06F16/33

CPC classification number: G06F16/2282 ,  G06F11/3452 ,  G06F16/211 ,  G06F16/2456 ,  G06F16/248 ,  G06F16/285 ,  G06F16/3347

Abstract: A computer-implemented method includes representing a plurality of database tables as respective vectors in a multi-dimensional vector space, receiving an indication that a first database table represented by a first vector and a second database table represented by a second vector are related to each other, moving positions of the respective vectors representing the plurality of database tables in the multi-dimensional vector space in response to the indication, and grouping the plurality of database tables into one or more table clusters based on positions of the respective vectors representing the plurality of database tables in the multi-dimensional vector space.

公开(公告)号：US11907182B2

公开(公告)日：2024-02-20

申请号：US17470988

申请日：2021-09-09

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt ,  Volker Saggau

IPC: G06F16/21 ,  G06F16/28

CPC classification number: G06F16/211 ,  G06F16/285

Abstract: A computer-implemented method includes receiving a request of data records for a data schema, obtaining a schema alignment which maps the data schema to a subset of an ontology of a knowledge graph, generating at least one query based on the subset of the ontology of the knowledge graph, obtaining a list of data records by executing the at least one query on the knowledge graph to obtain a list of data records, and persisting the list of data records to the data schema.

公开(公告)号：US20230214375A1

公开(公告)日：2023-07-06

申请号：US18113864

申请日：2023-02-24

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt

IPC: G06F16/28 ,  G06F16/248 ,  G06F16/2455

CPC classification number: G06F16/285 ,  G06F16/248 ,  G06F16/2456

Abstract: A computer-implemented method includes representing a plurality of database tables as respective vectors in a multi-dimensional vector space, receiving an indication that a first database table represented by a first vector and a second database table represented by a second vector are related to each other, moving positions of the respective vectors representing the plurality of database tables in the multi-dimensional vector space in response to the indication, and grouping the plurality of database tables into one or more table clusters based on positions of the respective vectors representing the plurality of database tables in the multi-dimensional vector space.

公开(公告)号：US20230051059A1

公开(公告)日：2023-02-16

申请号：US17400042

申请日：2021-08-11

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt

IPC: G06F16/22 ,  G06F16/28 ,  G06F16/21 ,  G06F11/34

Abstract: A computer-implemented method includes representing a plurality of database tables as respective vectors in a multi-dimensional vector space, receiving an indication that a first database table represented by a first vector and a second database table represented by a second vector are related to each other, moving the respective vectors representing the plurality of database tables in the multi-dimensional vector space in response to the indication, and grouping the plurality of database tables into one or more table clusters based on positions of the respective vectors representing the plurality of database tables in the multi-dimensional vector space.

公开(公告)号：US20230014739A1

公开(公告)日：2023-01-19

申请号：US17939869

申请日：2022-09-07

Applicant: SAP SE

Inventor： Sandra Bracholdt ,  Joachim Gross ,  Volker Saggau ,  Jan Portisch

IPC: G06F16/21 ,  G06F16/28 ,  G06F16/25 ,  G06F16/22

Abstract: A metastructure for representing and manipulating or analyzing a data model is provided herein. A source representation of the first data model may be received. The source representation may include a representation of one or more structural components of the first data model, respectively having identifiers and types. One or more instances of a metastructure schema object datatype may be generated based on the one or more structural components of the source representation. Generating a given instance of the metastructure schema object datatype for a given structural component may include assigning a first identifier of the given structural component to the first data member of the given instance, determining a first type associated with the given structural component, and assigning the first type to the second data member of the given instance. The one or more instances of the metastructure schema object datatype may be stored in association.

公开(公告)号：US20210232591A1

公开(公告)日：2021-07-29

申请号：US16776407

申请日：2020-01-29

Applicant: SAP SE

Inventor： Jan Portisch ,  Ronald Boehle ,  Sandra Bracholdt ,  Volker Saggau

IPC: G06F16/25 ,  G06F16/28 ,  G06F16/9035 ,  G06N20/00 ,  G06F16/2455

Abstract: Transformation rule generation and validation functionality is provided herein. Transformation rules can be generated for one or more mappings in an alignment between a source database and a target database. The transformation rules can transform instance data from the source data model to a form matching the target data model. One or more transformation rules can be generated for a mapping between fields in a source database and a field in a target database. The transformation rules can be generated based on one or more source fields and a target field of a mapping, and one or more identified functions. Evaluating the transformation rules can include generating test data based on the transformation rules applied to instance data from the source database. The test data can be evaluated against instance data from the target database. The transformation rules and the evaluation results can be provided in a user interface.

公开(公告)号：US20200342007A1

公开(公告)日：2020-10-29

申请号：US16926097

申请日：2020-07-10

Applicant: SAP SE

Inventor： Sandra Bracholdt ,  Volker Saggau ,  Jan Portisch

IPC: G06F16/28 ,  G06F16/26 ,  G06F16/21

Abstract: Techniques and solutions are described for determining, evaluating, and selecting data retrieval pathways. A plurality of database objects, such as tables, can be retrieved, and relationships between them determined. The relationships are between various attributes of the database objects. A plurality of pathways are determined between at least two target database objects, where the path determination does not consider attribute-level relationship information. After a path is determined, the relationship-level information can be added. A summary of the path, and relationship information, can be displayed to a user. A user can select paths to remove from the display, and can indicate one or more database objects that are required for a valid path, one or more database objects that are prohibited from valid paths, or combinations thereof. A user can select a path, and a query language statement to implement the path can be generated and displayed to the user.

公开(公告)号：US20250131030A1

公开(公告)日：2025-04-24

申请号：US18382988

申请日：2023-10-23

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt

IPC: G06F16/36 ,  G06F16/901

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.

公开(公告)号：US20240232650A9

公开(公告)日：2024-07-11

申请号：US17973322

申请日：2022-10-25

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt ,  Michael Hoerisch

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: Various examples are directed to systems and methods for utilizing relationship data in a computing system. The computing system may extract first relationship data from a document and determine a first confidence value describing the first relationship data. The computing system may write the first relationship data to a knowledge graph data structure. The computing system may serve a first user interface page to a user computing device associated with a first user and receive feedback data describing an accuracy of the first relationship data. The computing system may modify a first confidence subunit of a triple data unit associated with the relationship to describe an updated confidence value based on the feedback data and a trust score of the first user.

公开(公告)号：US20240232233A9

公开(公告)日：2024-07-11

申请号：US17973311

申请日：2022-10-25

Applicant: SAP SE

Inventor： Jan Portisch ,  Sandra Bracholdt

IPC: G06F16/28 ,  G06F16/22 ,  G06F16/2458

CPC classification number: G06F16/288 ,  G06F16/2228 ,  G06F16/2477

Abstract: Various examples are directed to systems and methods for utilizing relationship data. A computing system may receive a time-dependent query against a knowledge graph data structure. The computing system may access confirmation data from the knowledge graph data structure, the confirmation data describing a first plurality of confirmation points-in-time at which the first test relationship is true. The computing system may determine that at least one of a beginning or an end of a first time period associated with a test relationship of the time-dependent query is not defined by the knowledge graph data structure. The computing system may determine a response to the first time-dependent query indicating a veracity of the test relationship at a test point-in-time using the first plurality of confirmation points-and-time.