Mapping for collaborative contribution

Patent metadata

Field	Value
Publication number	US-10192202-B2
Application number	US-201514755120-A
Country	US
Kind code	B2
Filing date	Jun 30, 2015
Priority date	Dec 31, 2014
Publication date	Jan 29, 2019
Grant date	Jan 29, 2019

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.

First claim

What is claimed is:

1. A computer-implemented method for managing communication between businesses, the method comprising:
selecting a source message guideline comprising a first plurality of elements;
selecting a target message guideline comprising a second plurality of elements;
identifying a direct acyclic graph (DAG) associated with the source message guideline, the DAG including a plurality of trees that each correspond to a type system and that each include a plurality of nodes, the nodes representing properties of the source message guideline;
identifying, for each node of the plurality of nodes, a hashtag associated with the node, the hashtag indicating a business context corresponding to a domain associated with the source message guideline;
determining, based on the domain associated with each node, a subset of the properties of the source message guideline;
generating, based on the subset of the properties, a data model including a plurality of potential mapping entities between the first plurality of elements and the second plurality of elements;
providing a visibility of the plurality of potential mapping entities as a function of a correlation threshold of content between the first and the second plurality of elements;
automatically modifying a quantity of the plurality of potential mapping entities based on the correlation threshold, the modifying including adding and/or removing mapping entities from the plurality of potential mapping entities to define a subset of mapping entities;
determining that an option of the DAG indicates that the DAG, each of the plurality of trees included in the DAG, and each of the plurality of potential mapping entities are reusable;
based on determining that the option of the DAG indicates that the DAG and the plurality of mapping entities are reusable, limiting the number of entries associated with the data model to an upper bound, the upper bound based on a total amount of distinct business context set definitions that each includes a set of preconditions under which one or more domain relations between a container entity and its properties are valid; and
storing in memory the subset of mapping entities for reuse.

2. The computer-implemented method of claim 1 , wherein selecting the source message guideline comprises:
selecting a message template;
selecting a business context;
generating the source message guideline comprising a plurality of fields associated to the business context; and
adapting the message guide by adding an additional field from a context menu.

3. The computer-implemented method of claim 1 , wherein selecting the message guideline comprises selecting a type system, a system version type and a message type.

4. The computer-implemented method of claim 1 , wherein the business context comprises one or more of an industry, a location, a business role, a business process and a business system.

5. The computer-implemented method of claim 1 , wherein generating the data model including the plurality of potential mapping entities comprises determining an accuracy of correlation between the first plurality of elements and the second plurality of elements based a correlation coefficient and a persistence of each of the plurality of potential mapping entities.

6. The computer-implemented method of claim 5 , wherein the correlation coefficient is associated with semantic data associated with each of the first plurality of elements and the second plurality of elements.

7. The computer-implemented method of claim 5 , wherein the persistence is determined from relevant properties of each of the first plurality of elements and the second plurality of elements, limited by a total amount of distinct business context set definitions.

8. The computer-implemented method of claim 1 , wherein the directed acyclic graph comprises one or more root nodes defining entry points of an ontology and decomposing in one or more child nodes according to the one or more domain relations.

9. The computer-implemented method of claim 8 , wherein the one or more domain relations define one or more subordinate relationships of a property entity to the container entity for the context.

10. The computer-implemented method of claim 8 , each of the one or more root nodes and the one or more child nodes comprising a content.

11. The computer-implemented method of claim 10 , wherein the content comprises one or more of example elements of a data model, activities of a business process and an ontology.

12. The computer-implemented method of claim 1 , further comprising selecting a second plurality of mapping entities from the plurality of potential mapping entities based on a second accuracy threshold of the mapping entities.

13. A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for providing communication between businesses, the operations comprising:
selecting a source message guideline comprising a first plurality of elements;
selecting a target message guideline comprising a second plurality of elements;
identifying a direct acyclic graph (DAG) associated with the source message guideline, the DAG including a plurality of trees that each correspond to a type system and that each include a plurality of nodes, the nodes representing properties of the source message guideline;
identifying, for each node of the plurality of nodes, a hashtag associated with the node, the hashtag indicating a business context corresponding to a domain associated with the source message guideline;
determining, based on the domain associated with each node, a subset of the properties of the source message guideline;
generating, based on the subset of the properties, a data model including a plurality of potential mapping entities between the first plurality of elements and the second plurality of elements;
providing a visibility of the plurality of potential mapping entities as a function of a correlation threshold of content between the first and the second plurality of elements;
automatically modifying a quantity of the plurality of potential mapping entities based on the correlation threshold, the modifying including adding and/or removing mapping entities from the plurality of potential mapping entities to define a subset of mapping entities;
determining that an option of the DAG indicates that the DAG, each of the plurality of trees included in the DAG, and each of the plurality of potential mapping entities are reusable;
based on determining that the option of the DAG indicates that the DAG and the plurality of mapping entities are reusable, limiting the number of entries associated with the data model to an upper bound, the upper bound based on a total amount of distinct business context set definitions that each includes a set of preconditions under which one or more domain relations between a container entity and its properties are valid; and
storing in memory the subset of mapping entities for reuse.

14. A system, comprising:
a computing device; and
a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for providing communication between businesses, the operations comprising:
selecting a source message guideline comprising a first plurality of elements;
selecting a target message guideline comprising a second plurality of elements;
identifying a direct acyclic graph (DAG) ass

Assignees

• Sap Se

Inventors

• Stuhec Gunther
• Denner Juergen

Classifications

• H04L51/046

  Interoperability with other network applications or services · CPC title

• H04L51/063

  Content adaptation, e.g. replacement of unsuitable content · CPC title

• G06Q10/107 Primary

  Computer-aided management of electronic mailing [e-mailing] · CPC title

• H04L12/1827

  Network arrangements for conference optimisation or adaptation · CPC title