Construction and application of aerospace quality knowledge graph

Chenyue Zhang; Fangxu Dong; Qinghua Long

doi:10.1117/12.3012121

21 December 2023 Construction and application of aerospace quality knowledge graph

Chenyue Zhang, Fangxu Dong, Qinghua Long

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297027 (2023) https://doi.org/10.1117/12.3012121
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Aiming at the huge and discrete storage of quality problem data in aerospace model quality management, a method for improving the efficiency of finding aerospace quality information by constructing a knowledge graph of aerospace quality and applying a question-answering system is proposed. The graph construction adopts a top-down construction method. First, the concept-attribute-relationship ontology model of aerospace quality knowledge is constructed. Then, based on combining expert knowledge to design the ontology concept of aerospace quality knowledge, the data to be processed is pre-processed by BERT. The training model is combined with deep learning technologies such as BiLSTM-CRF and self-attention mechanism to realize independent knowledge extraction, and then the Dice coefficient combined with the weighted average method is used to fuse the entity-relationship extraction results. Finally, based on the constructed knowledge graph, to improve the accuracy of semantic template matching, a natural language question semantic classification process model based on a weighted naive Bayesian classifier is established, which can further realize intelligent question answering. The results of the paper show that the intelligent application of knowledge graphs in the field of aerospace quality has a good prospect.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chenyue Zhang, Fangxu Dong, and Qinghua Long "Construction and application of aerospace quality knowledge graph", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297027 (21 December 2023); https://doi.org/10.1117/12.3012121

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KEYWORDS

Aerospace engineering

Data modeling

Semantics

Databases

Data storage

Education and training

Feature extraction

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