Ontology-based line-seru conversion scenario modeling

Weiguo Liu; Lu Li; Xuyin Wang

doi:10.1117/12.3025822

8 April 2024 Ontology-based line-seru conversion scenario modeling

Weiguo Liu, Lu Li, Xuyin Wang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309021 (2024) https://doi.org/10.1117/12.3025822
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

This paper proposes a knowledge architecture model to improve the universality and adaptability of the line-seru conversion model by introducing ontology-related theories and methods. A general ontology model is proposed for the line-seru conversion domain, which combines scene and rule ontology. Then, general scenarios and rules are constructed based on their characteristics, and empirical research is carried out with line-seru conversion under multiple scenarios. Based on empirical evidence, this study creates a general reference model for line-seru conversion modeling that can be used in various scenarios. The basic reference model can be easily modified to fit different line-seru conversion scenarios, making it easier to study scenario modeling and production operations.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weiguo Liu, Lu Li, and Xuyin Wang "Ontology-based line-seru conversion scenario modeling", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309021 (8 April 2024); https://doi.org/10.1117/12.3025822

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