Babylon Partners Limited

Jonathan Moore

Georgios Stoilos

Mohammad Khodadadi

Damir Juric

David Geleta

Gregory McKay

Jessica Tanon

Claudia Schulz

The present disclosure relates to a computer-implemented method of verifying a semantic triple generated for building a knowledge base including data patterns defining concepts associated with semantic triples derived from unstructured text. The method includes providing the semantic triple to a user interface, the semantic triple including a subject, an object, and a relation. The method also includes receiving, from the user interface, an acceptance or a rejection of the subject, the object, and the relation as relevant or not to the knowledge base. The method also includes transmitting the semantic triple for inclusion as a data pattern in the knowledge base in the event that all of the subject, the object, and the relation, have been accepted.

System for extracting semantic triples for building a knowledge base

The subject-matter described herein relates to a computer-implemented method of enabling interoperability between a first knowledge base and a second knowledge base. Each knowledge base is graphically represented and includes a plurality of nodes each defining a concept and a plurality of relations linking the plurality of nodes. The first knowledge base and the second knowledge base are encoded using different coding standards. The method comprises: identifying an entity from the plurality of entities in the second knowledge base; obtaining a mapping between the identified entity from the second knowledge base and a matching entity from the first knowledge base; and creating and storing a link between the identified entity from the second knowledge base and the matching entity from the first knowledge base.

System and method for enabling interoperability between a first knowledge base and a second knowledge base

The present disclosure relates to a computer-implemented method of generating a semantic triple for building a knowledge base to include data patterns associated with semantic triples derived from unstructured text. The method includes providing a sentence associated with unstructured text including a main verb and a taxonomic verb, generating a first frame, generating a second frame, identifying a common sub-string in the first subject and either the second subject or the second object, or a common sub-string in the first object and either the second subject or the second object; generating a semantic triple using the first frame and replacing the first subject or the first object having the common sub-string with the second subject or the second object having the common sub-string; and transmitting the semantic triple for inclusion as a data pattern in the knowledge base.

Growing community of inventors

London, United Kingdom

Jonathan Moore