US 12,242,808 B2
Knowledge graph entities from text
Hans-Martin Ramsl, Mannheim (DE)
Assigned to SAP SE, Walldorf (DE)
Filed by SAP SE, Walldorf (DE)
Filed on May 6, 2022, as Appl. No. 17/738,898.
Prior Publication US 2023/0359825 A1, Nov. 9, 2023
Int. Cl. G06F 40/295 (2020.01); G06F 40/253 (2020.01); G06N 3/042 (2023.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01)
CPC G06F 40/295 (2020.01) [G06F 40/253 (2020.01); G06N 3/042 (2023.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
identifying, by one or more processors, a set of entities from text, at least one entity of the set of entities being a business object recognized by a keyword that indicates a type of the business object followed by a number that indicates a particular business object of the type;
identifying, by the one or more processors, a set of verbs from the text;
identifying, by the one or more processors and from the text, a set of relations between pairs of entities of the set of entities;
creating, by the one or more processors, a knowledge graph based on the set of entities, the set of verbs, and the set of relations;
storing the knowledge graph in a memory;
causing presentation of a user interface on a display device;
receiving, via the user interface, a topic;
searching the knowledge graph for nodes that match the topic; and
causing display of at least one of the nodes that match the topic, a first node connected to the at least one of the nodes, a second node connected to the at least one of the nodes, a first relationship between the first connected node and the at least one of the nodes, and a second, different, relationship between the second connected node and the at least one of the nodes.