Open AccessMulti-modal big data knowledge aggregation for advanced automobile intelligent manufacturing operation and maintenance
Author(s) -
Rui Yang,
Zhijie Xu,
Xie Tianjie,
Zhang Yu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1653/1/012026
Subject(s) - computer science , modal , artificial intelligence , knowledge representation and reasoning , matching (statistics) , graph , theoretical computer science , mathematics , statistics , chemistry , polymer chemistry
In this study, automatic knowledge extraction technology is analyzed for advanced automobile intelligent manufacturing operation and maintenance multi-modal information with knowledge graph construction method and complex knowledge reasoning method. An association representation model is proposed based on deep feature learning, a unified multi-modal semantic space is constructed, and a semantic matching technology for multi-modal equipment operation and maintenance is designed based on the reasoning method of deep recurrent neural network.