Invention Grant
- Patent Title: Substance description management based on substance information analysis using machine learning techniques
-
Application No.: US16913587Application Date: 2020-06-26
-
Publication No.: US11468695B2Publication Date: 2022-10-11
- Inventor: Paul Walsh , Md. Faisal Zaman , Nóirín Duggan , Javier Miguel Sastre-Martinez , Caitlin McDonagh , Daire Corley-Carmody
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Main IPC: G06V30/416
- IPC: G06V30/416 ; G06V10/84 ; G06V10/774 ; G06V10/771 ; G06N3/08 ; G06K9/62 ; G06V10/75

Abstract:
A device may generate, from a subset of historical ontology data and a substance description of a substance, a knowledge base. The subset of historical ontology data may be associated with historical substances. The device may generate, based on the knowledge base, a substance knowledge graph embedding (KGE) that is representative of the substance; compare the substance KGE and a historical KGE associated with the knowledge base; determine, based on comparing the substance KGE and the historical KGE, a similarity score associated with the substance KGE and the historical KGE; determine, based on the similarity score, whether substance data associated with a related substance is similarly represented in the substance KGE and the historical KGE; and perform, based on whether the substance data is similarly represented in the substance KGE and the historical KGE, an action associated with the related substance relative to the substance description or the knowledge base.
Public/Granted literature
Information query