Paper
27 September 2024 Construction of patent knowledge graph of the exoskeleton robot based on ontology
Yang Lou
Author Affiliations +
Proceedings Volume 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024); 132840Y (2024) https://doi.org/10.1117/12.3049345
Event: Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 2024, Hangzhou, China
Abstract
The process of exoskeleton robot design is a complex system requiring the cooperation and integration of machinery, medicine, automation, and computer technology. As one of the high-tech industries, the field of exoskeleton robotics contains a large number of scientific and technological achievements and innovative technologies in its patent literature, and efficiently utilizing the knowledge therein is crucial for improving the efficiency and design quality of exoskeleton robotics. Patent knowledge is cross-disciplinary and multi-disciplinary in nature, leading to difficulties in integrating knowledge, as well as a lack of organization and management methods. These problems have led to underutilization of patent knowledge information resources in this field. In order to make effective use of the information and data resources of patents, shorten the design cycle, and provide knowledge for the designers, according to the operations objectives, an exoskeleton robot technology knowledge graph was established. On the basis of patent analysis, entities and relationships in the knowledge graph were defined, and the knowledge ontology layer was established. By fine-tuning the UIE model to extract the deep innovation content knowledge of the patent and filling it into the data layer.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yang Lou "Construction of patent knowledge graph of the exoskeleton robot based on ontology", Proc. SPIE 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 132840Y (27 September 2024); https://doi.org/10.1117/12.3049345
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KEYWORDS
Patents

Design

Data modeling

Robotics

Analytical research

Computer programming

Mining

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