View source for 20240054320. MULTI-DIMENSIONAL KNOWLEDGE GRAPH-BASED SYSTEM IN SUPPORT OF REGULATORY COMPLIANCE APPLICATIONS IN FINANCIAL SERVICES simplified abstract (Morgan Stanley Services Group Inc.)

=MULTI-DIMENSIONAL KNOWLEDGE GRAPH-BASED SYSTEM IN SUPPORT OF REGULATORY COMPLIANCE APPLICATIONS IN FINANCIAL SERVICES=


==Organization Name==

[[:Category:Morgan Stanley Services Group Inc.|Morgan Stanley Services Group Inc.]]


[[Category:Morgan Stanley Services Group Inc.]]

==Inventor(s)==

[[:Category:Eren Kurshan of New York NY (US)|Eren Kurshan of New York NY (US)]][[Category:Eren Kurshan of New York NY (US)]]

==MULTI-DIMENSIONAL KNOWLEDGE GRAPH-BASED SYSTEM IN SUPPORT OF REGULATORY COMPLIANCE APPLICATIONS IN FINANCIAL SERVICES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240054320 titled 'MULTI-DIMENSIONAL KNOWLEDGE GRAPH-BASED SYSTEM IN SUPPORT OF REGULATORY COMPLIANCE APPLICATIONS IN FINANCIAL SERVICES

==Simplified Explanation==

The abstract describes a method for creating a multi-dimensional knowledge graph by generating an initial entity component with entity nodes and relationship edges, associating requirements with the relationship edges to define dependencies and iterating/recursing until all factors determining the state of the relationship edge are included in the graph.

* Method for creating a multi-dimensional knowledge graph
* Initial entity component with entity nodes and relationship edges
* Requirements associated with relationship edges to define dependencies
* Iterative/recursion process to include all factors determining relationship edge state
* Storage of associated requirements in computer memory

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### Potential Applications
* Data analysis and visualization
* Knowledge representation and reasoning systems
* Semantic web applications

### Problems Solved
* Efficient organization and retrieval of complex relationships between entities
* Scalability in handling large amounts of interconnected data
* Facilitation of automated reasoning and decision-making processes

### Benefits
* Enhanced data understanding and insights
* Improved data integration and interoperability
* Streamlined knowledge management and discovery processes


==Original Abstract Submitted==

a method of providing a multi-dimensional knowledge graph including entities and relationships between entities comprises generating an initial entity component of the knowledge graph using underlying data including a plurality of entity nodes and one or more relationship edges that connect the entities, storing the entity component in computer memory, associating at least a first requirement with a one the relationship edges that defines an iterative or recursive functional description (“function”) of the relationship edge, wherein the function defines a dependency of the relationship upon conditions, parameters and other factors, each iteration or recursion of the requirement defining a dimension of the knowledge graph. the recursion proceeds until all conditions, parameters and other factors that determine a state of the relationships edge is included in the graph. the associated requirements included in the knowledge graph for the relationship edges are then store in computer memory.



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