公开(公告)号：US20230409637A1

公开(公告)日：2023-12-21

申请号：US17836647

申请日：2022-06-09

Applicant: NATIONAL CHENG KUNG UNIVERSITY

Inventor： Wen-Hsiang LU ,  Cheng-Wei LIN ,  Bo Yang HUANG ,  Chia-Ming TUNG

IPC: G06F16/901 ,  G06F16/906 ,  G06F16/93 ,  G06F16/9032 ,  G06F16/9038

CPC classification number: G06F16/9024 ,  G06F16/906 ,  G06F16/9038 ,  G06F16/90332 ,  G06F16/93

Abstract: A method of building a knowledge graph, performed by a processing device, includes: classifying news articles to a main event associated with sub events, using the main event as a first node of the knowledge graph, using the sub events as second nodes of the knowledge graph respectively, connecting the second nodes to the first node, extracting event summaries from the news articles respectively according to a template, using the event summaries as third nodes of the knowledge graph respectively, and connecting each of the third nodes to one of the second nodes according to association between the event summaries and the sub events, extracting commenter identities from the event summaries, and using the commenter identities as fourth nodes of the knowledge graph, and connecting each of the fourth nodes to one of the third nodes.

公开(公告)号：US20240143922A1

公开(公告)日：2024-05-02

申请号：US17986782

申请日：2022-11-14

Applicant: NATIONAL CHENG KUNG UNIVERSITY

Inventor： Wen-Hsiang LU ,  Chia-Ming TUNG ,  Ding-Jhe LIOU

IPC: G06F40/284 ,  G06F40/117 ,  G06F40/253 ,  G06F40/35 ,  G06N5/02

CPC classification number: G06F40/284 ,  G06F40/117 ,  G06F40/253 ,  G06F40/35 ,  G06N5/022

Abstract: A method of generating knowledge graph, performed by a processing device, includes: obtaining a knowledge document, performing word segmentation and part-of-speech tagging on the knowledge document to generate a number of tagged words, obtaining a number of sentences from the tagged words according to a default sentence pattern, wherein each of the sentences includes a subject, an adverb, a verb and an object, and the adverb corresponding to an adverb type, for each of the sentences, performing: using the subject as a first entity of a triple, using the object as a second entity of the triple, and using the adverb type and the verb as a relation in the triple, and forming a knowledge graph using the triple corresponding to each of the sentences.