公开(公告)号：US12165079B2

公开(公告)日：2024-12-10

申请号：US17127287

申请日：2020-12-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Dong-Oh Kang ,  Chon Hee Lee ,  Joon Young Jung

IPC: G06N5/04 ,  G06F16/22 ,  G06F16/2457 ,  G06N5/022 ,  G06N7/01

Abstract: A multi-layered knowledge base system and a processing method thereof are provided. In the system, semantic space learning of converting learning data into a semantic vector, which is a vector of semantic space, by learning a transformation function based on a plurality of learning data is performed. Then, relational knowledge learning of acquiring a relation between the semantic vectors by learning a relation function based on the semantic vectors obtained by the semantic space learning is performed. The acquired relation is converted into graph knowledge. The graph knowledge uses the relation as an edge and the semantic vector corresponding to the relation as a node.

公开(公告)号：US20250156729A1

公开(公告)日：2025-05-15

申请号：US18921243

申请日：2024-10-21

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chon Hee Lee ,  Dong-oh Kang

IPC: G06N3/0985 ,  G06N3/042 ,  G06N3/0495

Abstract: Provided are a device and method for embedding a knowledge graph. The device includes an acquisition module configured to acquire a knowledge graph embedding model and a tuning module configured to generate a low-dimensional embedding model by performing hyperparameter tuning on the acquired knowledge graph embedding model on the basis of grid search.