Patents by Inventor Gunther Stuhec

Gunther Stuhec 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).

  • Labeling entities in a canonical data model
    Patent number: 10545930
    Abstract: Enterprises express the concepts of their electronic business-to-business (B2B) communication in differently structured ontology-like schemas. Collaborations benefit from merging the common concepts into semantically unique Business Entities (BEs) in a merged schema. Methods and systems for labeling the merged schema with descriptive, yet short and unique names, are described. A heuristically ranked list of descriptive candidate phrases for each BE is derived locally from the names and descriptions of the underlying concepts. A semantically unique candidate phrase is assigned to each BE that discriminates it from the other BEs by employing a constraint satisfaction problem solver.
    Type: Grant
    Filed: September 20, 2017
    Date of Patent: January 28, 2020
    Assignee: SAP SE
    Inventors: Nathali Ortiz Suarez, Jens Lemcke, Gunther Stuhec
  • Streamlining end-to-end flow of business-to-business integration processes
    Patent number: 10505873
    Abstract: Techniques for managing communication between businesses include defining a plurality of business context parameters associated with a first entity and a second entity; retrieving a first set of business requirements from a first entity and a second set of business requirements from a second entity based on the business context parameters; generating a message implementation guideline including one or more source elements associated with the first set of business requirements; receiving a second message implementation guideline including one or more target elements from the second entity; and generating a mapping guideline including mapping entities between the one or more source elements and the one or more target elements.
    Type: Grant
    Filed: December 30, 2014
    Date of Patent: December 10, 2019
    Assignee: SAP SE
    Inventor: Gunther Stuhec
  • Mapping for collaborative contribution
    Patent number: 10192202
    Abstract: Techniques for managing communication between businesses include selecting a source message guideline including a first plurality of elements; selecting a target message guideline including a second plurality of elements; selecting a business context corresponding to the source message guideline; generating a plurality of potential mapping entities between the first plurality of elements and the second plurality of elements; and selecting mapping entities from the plurality of potential mapping entities based on an accuracy threshold of the mapping entities.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: January 29, 2019
    Assignee: SAP SE
    Inventors: Gunther Stuhec, Juergen Denner
  • LABELING ENTITIES IN A CANONICAL DATA MODEL
    Publication number: 20180011879
    Abstract: Enterprises express the concepts of their electronic business-to-business (B2B) communication in differently structured ontology-like schemas. Collaborations benefit from merging the common concepts into semantically unique Business Entities (BEs) in a merged schema. Methods and systems for labeling the merged schema with descriptive, yet short and unique names, are described. A heuristically ranked list of descriptive candidate phrases for each BE is derived locally from the names and descriptions of the underlying concepts. A semantically unique candidate phrase is assigned to each BE that discriminates it from the other BEs by employing a constraint satisfaction problem solver.
    Type: Application
    Filed: September 20, 2017
    Publication date: January 11, 2018
    Inventors: Nathali Ortiz Suarez, Jens Lemcke, Gunther Stuhec
  • Labelling entities in a canonical data model
    Patent number: 9785658
    Abstract: Enterprises express the concepts of their electronic business-to-business (B2B) communication in differently structured ontology-like schemas. Collaborations benefit from merging the common concepts into semantically unique Business Entities (BEs) in a merged schema. Methods and systems for labeling the merged schema with descriptive, yet short and unique names, are described. A heuristically ranked list of descriptive candidate phrases for each BE is derived locally from the names and descriptions of the underlying concepts. A semantically unique candidate phrase is assigned to each BE that discriminates it from the other BEs by employing a constraint satisfaction problem solver.
    Type: Grant
    Filed: December 18, 2014
    Date of Patent: October 10, 2017
    Assignee: SAP SE
    Inventors: Nathali Ortiz Suarez, Jens Lemcke, Gunther Stuhec
  • CANONICAL DATA MODEL FOR ITERATIVE EFFORT REDUCTION IN BUSINESS-TO-BUSINESS SCHEMA INTEGRATION
    Publication number: 20170220698
    Abstract: The present disclosure describes methods, systems, and computer program products for providing and maintaining an evolving canonical data model (CDM) which consolidates current knowledge of the correspondences of existing schemas.
    Type: Application
    Filed: April 11, 2017
    Publication date: August 3, 2017
    Inventors: Michael Dietrich, Jens Lemcke, Gunther Stuhec
  • Canonical data model for iterative effort reduction in business-to-business schema integration
    Patent number: 9626451
    Abstract: The present disclosure describes methods, systems, and computer program products for providing and maintaining an evolving canonical data model (CDM) which consolidates current knowledge of the correspondences of existing schemas.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: April 18, 2017
    Assignee: SAP SE
    Inventors: Michael Dietrich, Jens Lemcke, Gunther Stuhec
  • User-guided multi-schema integration
    Patent number: 9501567
    Abstract: Methods, systems, and computer-readable storage media for user-guided multi-schema integration and include actions of receiving a plurality of schemas, each schema defining a data structure and including a plurality of intermediate elements and a plurality of leaf elements, receiving leaf correspondences that match leaf elements between schemas of the plurality of schemas, processing the plurality of schemas and the leaf correspondences using closed frequent itemset mining to define a first plurality of redundancy groups, each redundancy group including a proposed correspondence between intermediate elements of schemas, displaying the first plurality of redundancy groups to a user, receiving user input, the user input including one or more actions to one or more redundancy groups in the first plurality of redundancy groups, processing the plurality of schemas, the leaf correspondences and the one or more actions to define a second plurality of redundancy groups, and displaying the second plurality of redundan
    Type: Grant
    Filed: February 8, 2012
    Date of Patent: November 22, 2016
    Assignee: SAP SE
    Inventors: Jens Lemcke, Muhammad Wasimullah Khan, Gunther Stuhec
  • STREAMLINING END-TO-END FLOW OF BUSINESS-TO-BUSINESS INTEGRATION PROCESSES
    Publication number: 20160191431
    Abstract: Techniques for managing communication between businesses include defining a plurality of business context parameters associated with a first entity and a second entity; retrieving a first set of business requirements from a first entity and a second set of business requirements from a second entity based on the business context parameters; generating a message implementation guideline including one or more source elements associated with the first set of business requirements; receiving a second message implementation guideline including one or more target elements from the second entity; and generating a mapping guideline including mapping entities between the one or more source elements and the one or more target elements.
    Type: Application
    Filed: December 30, 2014
    Publication date: June 30, 2016
    Inventor: Gunther Stuhec
  • MAPPING FOR COLLABORATIVE CONTRIBUTION
    Publication number: 20160189105
    Abstract: Techniques for managing communication between businesses include selecting a source message guideline including a first plurality of elements; selecting a target message guideline including a second plurality of elements; selecting a business context corresponding to the source message guideline; generating a plurality of potential mapping entities between the first plurality of elements and the second plurality of elements; and selecting mapping entities from the plurality of potential mapping entities based on an accuracy threshold of the mapping entities.
    Type: Application
    Filed: June 30, 2015
    Publication date: June 30, 2016
    Inventors: Gunther Stuhec, Juergen Denner
  • CANONICAL DATA MODEL FOR ITERATIVE EFFORT REDUCTION IN BUSINESS-TO-BUSINESS SCHEMA INTEGRATION
    Publication number: 20160179982
    Abstract: The present disclosure describes methods, systems, and computer program products for providing and maintaining an evolving canonical data model (CDM) which consolidates current knowledge of the correspondences of existing schemas.
    Type: Application
    Filed: February 29, 2016
    Publication date: June 23, 2016
    Applicant: SAP SE
    Inventors: Michael Dietrich, Jens Lemcke, Gunther Stuhec
  • Canonical data model for iterative effort reduction in business-to-business schema integration
    Patent number: 9311429
    Abstract: The present disclosure describes methods, systems, and computer program products for providing and maintaining an evolving canonical data model (CDM) which consolidates current knowledge of the correspondences of existing schemas.
    Type: Grant
    Filed: July 23, 2013
    Date of Patent: April 12, 2016
    Assignee: SAP SE
    Inventors: Michael Dietrich, Jens Lemcke, Gunther Stuhec
  • Labelling Entities in a Canonical Data Model
    Publication number: 20160098429
    Abstract: Enterprises express the concepts of their electronic business-to-business (B2B) communication in diffrently structured ontology-like schemas. Collaborations benefit from merging the common concepts into semantically unique Business Entities (BEs) in a merged schema. Methods and systems for labeling the merged schema with descriptive, yet short and unique names, are described. A heuristically ranked list of descriptive candidate phrases for each BE is derived locally from the names and descriptions of the underlying concepts. A semantically unique candidate phrase is assigned to each BE that discriminates it from the other BEs by employing a constraint satisfaction problem solver.
    Type: Application
    Filed: December 18, 2014
    Publication date: April 7, 2016
    Inventors: Nathali Ortiz Suarez, Jens Lemcke, Gunther Stuhec
  • DATA MODEL OPTIMIZATION
    Publication number: 20150142841
    Abstract: A name of one or more entity classes of the data model may be refined to conform to a naming convention. A semantic meaning of each of the names and one or more attributes of each entity class may be determined. It may be determined that the name of a first entity class is semantically similar to the name of a second entity class based on a semantic distance between the semantic meaning of the names, where a substantial similarity may be determined between the first entity class and the second entity class by comparing the semantic meaning of the one or more attributes of the first entity class to the semantic meaning of the one or more attributes of the second entity class. The data model may be normalized based on the substantial similarity.
    Type: Application
    Filed: January 29, 2015
    Publication date: May 21, 2015
    Inventors: Gunther STUHEC, Florian GESSNER, Jens LEMCKE
  • Data model optimization
    Patent number: 8954378
    Abstract: A name of one or more entity classes of the data model may be refined to conform to a naming convention. A semantic meaning of each of the names and one or more attributes of each entity class may be determined. It may be determined that the name of a first entity class is semantically similar to the name of a second entity class based on a semantic distance between the semantic meaning of the names, where a substantial similarity may be determined between the first entity class and the second entity class by comparing the semantic meaning of the one or more attributes of the first entity class to the semantic meaning of the one or more attributes of the second entity class. The data model may be normalized based on the substantial similarity.
    Type: Grant
    Filed: August 28, 2012
    Date of Patent: February 10, 2015
    Assignee: SAP AG
    Inventors: Gunther Stuhec, Florian Gessner, Jens Lemcke
  • CANONICAL DATA MODEL FOR ITERATIVE EFFORT REDUCTION IN BUSINESS-TO-BUSINESS SCHEMA INTEGRATION
    Publication number: 20150032777
    Abstract: The present disclosure describes methods, systems, and computer program products for providing and maintaining an evolving canonical data model (CDM) which consolidates current knowledge of the correspondences of existing schemas.
    Type: Application
    Filed: July 23, 2013
    Publication date: January 29, 2015
    Applicant: SAP AG
    Inventors: Michael Dietrich, Jens Lemcke, Gunther Stuhec
  • Dictionary entry name generator
    Patent number: 8892575
    Abstract: A method for building dictionary entry names for data elements of a canonical data model includes identifying candidate terms for the dictionary entry name of a node or equivalence class of the canonical data model. The method includes counting a frequency of occurrence of candidate terms in use and based on the use counts creating a candidate ordering of terms for the complete ordered dictionary entry name of the node or equivalence class. The method further includes validating the candidate ordering of terms for the complete ordered dictionary entry name of the node or equivalence class by comparison of the ordering with reliable dictionary entry name entries in a database and/or by usage counts in search engine results.
    Type: Grant
    Filed: June 6, 2012
    Date of Patent: November 18, 2014
    Assignee: SAP SE
    Inventors: Gunther Stuhec, Dirk Weissmann
  • Consistent set of interfaces derived from a business object model
    Patent number: 8694397
    Abstract: Methods and systems consistent with the present invention provide a data processing system having a business object model reflecting the data used during a business transaction. Consistent interfaces are generated from the business object model. These interfaces are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.
    Type: Grant
    Filed: June 17, 2005
    Date of Patent: April 8, 2014
    Assignee: SAP AG
    Inventors: Michael Seubert, Jochen Rasch, Axel Kuehl, Stefan Adelmann, Gabriel Alvarez, Markus Biehler, Daniel Bock, Andreas Bold, Andreas Brossler, Daniel Buchmann, Renzo Colle, Robert Doerner, Stefan Elfner, Stefan Franke, Werner Gnan, Antonia Gross, Toralf Grossmann, Gerhard Gschwender, Joerg Hendricks, Wolf Hengevoss, Stephan Hetzer, Christine Hofmann, Volker Jaeck, Bernhard Kelnberger, Johann Kemmer, Joachim Kenntner, Adam Kiwon, Karsten Koetter, Thilo Kraehmer, Corinne Kuster, Christoph Lehner, Werner Liebold, Thomas Maag, Otto Makris, Andreas Morsch, Wolfgang Nieswand, Thomas Nitschke, Dietmar Nowotny, Markus Peter, Georg Podhajsky, Dominic Poetschke, Uwe Pyka, Ruediger Radcke, Gregor Rieken, Volker Ripp, Gerd Ritter, Paola Sala, Daniela Schapler, Matthias Schmitt, Andreas Schneider, Arnulf Schueler, Dagmar Schultze, Reiner Seyler, Ralf Sievers, Gunther Stuhec, Frank Thome, Andre Wagner, Rudolf Winkel, Tao Yu, Jens Zachmann, Renato Zadro, Theo Zimmerman, Michael Zoeller
  • Computing canonical hierarchical schemas
    Patent number: 8676866
    Abstract: Methods, systems, and computer-readable storage media for receiving a plurality of source hierarchical schemas, processing the source hierarchical schemas to generate a merged graph, which is comprising a plurality of merged nodes, each merged node being provided based on one or more nodes from at least two of the source hierarchical schemas, determining and resolving using conflicts in the merged graph to generate a conflict-free merged graph, wherein resolving comprises splitting one or more merged nodes into respective sub-sets of merged nodes, defining and processing a constraints satisfaction problem (CSP) to generate a plurality of mediated hierarchical schemas (MHSs), each MHS being a solution to the CSP, identifying an MHS of the plurality of MHSs as an optimum MHS, wherein a canonical hierarchical schema (CHS) is provided as the optimum MHS, and storing the CHS as a computer-readable document in a computer-readable memory.
    Type: Grant
    Filed: March 19, 2012
    Date of Patent: March 18, 2014
    Assignee: SAP AG
    Inventors: Jens Lemcke, Michael Dietrich, Gunther Stuhec
  • Consistent set of interfaces derived from a business object model
    Patent number: 8655756
    Abstract: Methods and systems consistent with the present invention provide a data processing system having a business object model reflecting the data used during a business transaction. Consistent interfaces are generated from the business object model. These interfaces are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.
    Type: Grant
    Filed: June 3, 2005
    Date of Patent: February 18, 2014
    Assignee: SAP AG
    Inventors: Michael Seubert, Jochen Rasch, Axel Kuehl, Gabriel Alvarez, Markus Biehler, Andreas Bold, Andreas Brossler, Daniel Buchmann, Renzo Colle, Stefan Elfner, Werner Gnan, Antonia Gross, Toralf Grossmann, Gerhard Gschwender, Joerg Hendricks, Wolf Hengevoss, Stephan Hetzer, Christine Hofmann, Volker Jaeck, Bernhard Kelnberger, Johann Kemmer, Joachim Kenntner, Karsten Koetter, Thilo Kraehmer, Corinne Kuster, Christoph Lehner, Thomas Maag, Otto Makris, Andreas Morsch, Wolfgang Nieswand, Thomas Nitschke, Markus Peter, Georg Podhajsky, Dominic Poetschke, Uwe Pyka, Ruediger Radcke, Gregor Rieken, Gerd Ritter, Paola Sala, Daniela Schapler, Matthias Schmitt, Andreas Schneider, Arnulf Schueler, Dagmar Schultze, Ralf Sievers, Gunther Stuhec, Frank Thome, Andre Wagner, Rudolf Winkel, Tao Yu, Jens Zachmann, Theo Zimmerman, Michael Zoeller