| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 02029 | |
| Number of page(s) | 8 | |
| Section | Mathematical Science and Application | |
| DOI | https://doi.org/10.1051/matecconf/202235502029 | |
| Published online | 12 January 2022 | |
Knowledge extract and ontology construction method of assembly process text
1 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
2 Beijing Institute of Electronic System Engineering, Beijing, China
* Corresponding author: l.shi@bit.edu.com
The actual product assembly process mainly relies on manual assembly by workers, and the personal experience of workers is difficult to effectively reuse. Ontology as a knowledge management and expression tool is gradually applied in the field of assembly. However, the manual construction of the ontology is time-consuming and labor-intensive, and the automatic construction of the ontology requires a large number of corpora for training, both of which are difficult to obtain a good assembly case ontology. This paper proposes a method in which automatically extracts relevant knowledge from case assembly process files to generates case database and integrates ontology framework of assembly domain to construct ontology. It shows that the accuracy can be guaranteed on the basis of the rapid construction of case ontology. The feasibility of this method is proved by a practical case.
Key words: Ontology construction / Knowledge extract / Assembly case ontology
© The Authors, published by EDP Sciences, 2022
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