Patents by Inventor Bjoern Pantel
Bjoern Pantel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11762820Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.Type: GrantFiled: August 12, 2022Date of Patent: September 19, 2023Assignee: SAP SEInventors: Jan Portisch, Bjoern Pantel, Benjamin Merkle, Stephan Schub, Sandra Bracholdt, Roland Kolata, Michael Hladik, Christoph Meinel
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Publication number: 20220391363Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.Type: ApplicationFiled: August 12, 2022Publication date: December 8, 2022Applicant: SAP SEInventors: Jan Portisch, Bjoern Pantel, Benjamin Merkle, Stephan Schub, Sandra Bracholdt, Roland Kolata, Michael Hladik, Christoph Meinel
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Patent number: 11442907Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.Type: GrantFiled: February 3, 2020Date of Patent: September 13, 2022Assignee: SAP SEInventors: Jan Portisch, Bjoern Pantel, Benjamin Merkle, Stephan Schub, Sandra Bracholdt, Roland Kolata, Michael Hladik, Christoph Meinel
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Patent number: 11422984Abstract: A method for data model clustering is provided herein. A first representation of a data model may be received. Edge betweenness values may be determined for respective nodes in the first representation. At least one node in the first representation may be identified as a linking node based on the respective edge betweenness values. One or more linking nodes may be removed from the first representation, thereby forming at least a first cluster and a second cluster. Degrees for the respective remaining nodes may be calculated. Respective hub nodes may be identified for the respective clusters based on the respective degrees in the clusters. Respective descriptions may be generated for the respective clusters based on the respective hub nodes. A clustered representation of the first representation may be stored with the clusters and their respective descriptions.Type: GrantFiled: April 30, 2019Date of Patent: August 23, 2022Assignee: SAP SEInventors: Jan Portisch, Sandra Bracholdt, Björn Pantel, Volker Saggau
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Publication number: 20210240675Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.Type: ApplicationFiled: February 3, 2020Publication date: August 5, 2021Applicant: SAP SEInventors: Jan Portisch, Bjoern Pantel, Benjamin Merkle, Stephan Schub, Sandra Bracholdt, Roland Kolata, Michael Hladik, Christoph Meinel
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Publication number: 20200349128Abstract: A method for data model clustering is provided herein. A first representation of a data model may be received. Edge betweenness values may be determined for respective nodes in the first representation. At least one node in the first representation may be identified as a linking node based on the respective edge betweenness values. One or more linking nodes may be removed from the first representation, thereby forming at least a first cluster and a second cluster. Degrees for the respective remaining nodes may be calculated. Respective hub nodes may be identified for the respective clusters based on the respective degrees in the clusters. Respective descriptions may be generated for the respective clusters based on the respective hub nodes. A clustered representation of the first representation may be stored with the clusters and their respective descriptions.Type: ApplicationFiled: April 30, 2019Publication date: November 5, 2020Applicant: SAP SEInventors: Jan Portisch, Sandra Bracholdt, Björn Pantel, Volker Saggau