Knowledge Graph-based Process Knowledge Reasoning Method for Intelligent Production System

Authors

Weikai Yang, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;Follow
Yan Wang, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: Aiming at the disadvantages of high redundancy and weakness between knowledge and data in intelligent production system, and the difficulty to perform knowledge reasoning, a process knowledge reasoning method for knowledge maps is proposed. The input information is semantically labeled and classified, the characteristics of the information match are extracted, the extracted local feature and global feature are associated through graph convolution method, and the feature of the difference value information is integrated and mapped with the constructed knowledge graph. Different reasoning rules are used according to different reasoning types, and the association and topology information between instances are deduced, and the properties and values of input information are generated. Compared with the recommended system algorithm and fusion knowledge map, the algorithm has higher predictive rates on Movielens-1M, Book-Crossing, Last.FM data set. The feasibility of the reasoning model is verified by the process instance knowledge.

Recommended Citation

Yang, Weikai; Wang, Yan; and Ji, Zhicheng (2023) "Knowledge Graph-based Process Knowledge Reasoning Method for Intelligent Production System," Journal of System Simulation: Vol. 35: Iss. 4, Article 8.
DOI: 10.16182/j.issn1004731x.joss.21-1305
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss4/8

First Page

773

Revised Date

2022-02-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-1305

Last Page

785

CLC

TP391.9

Recommended Citation

Weikai Yang, Yan Wang, Zhicheng Ji. Knowledge Graph-based Process Knowledge Reasoning Method for Intelligent Production System[J]. Journal of System Simulation, 2023, 35(4): 773-785.

DOI

10.16182/j.issn1004731x.joss.21-1305