Title:
KNOWLEDGE GRAPH DRIVEN CONTENT GENERATION
Document Type and Number:
WIPO Patent Application WO/2023/061293
Kind Code:
A1
Abstract:
An intelligent computer platform to support knowledge graph (KG) driven content generation is provided. A KG is created from one or more knowledge articles. The created KG includes individual nodes representing individual physical object and individual edges representing a hardware state characteristic of a physical object represented in a corresponding node. A trained computer vision model is leveraged to recognize one or more physical components and localize an active state of the recognized physical components. Content is generated responsive to the localized active state and the hardware state characteristic represented in the KG, and a control signal is dynamically issued to an operatively coupled device associated with the generated content. The control signal is configured to selectively control an event injection responsive to synchronization of the recognized one or more physical components and the generated content.
Inventors:
GUVEN KAYA SINEM (US)
ZHOU BING (US)
DENG YU (US)
ZHOU BING (US)
DENG YU (US)
Application Number:
PCT/CN2022/124100
Publication Date:
April 20, 2023
Filing Date:
October 09, 2022
Export Citation:
Assignee:
IBM (US)
IBM CHINA CO LTD (CN)
IBM CHINA CO LTD (CN)
International Classes:
G06F16/36
Foreign References:
| CN110727804A | 2020-01-24 | |||
| CN109919331A | 2019-06-21 | |||
| CN113486151A | 2021-10-08 | |||
| US20210303792A1 | 2021-09-30 |
Attorney, Agent or Firm:
LIU, SHEN & ASSOCIATES (CN)
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