Extracting OWL-ontology classes of complex technical systems using text analysis

Alexander Dyrnochkin; Vadim Moshkin; Irina Moshkina; Nadezhda Yarushkina

doi:10.1117/12.3025023

20 February 2024 Extracting OWL-ontology classes of complex technical systems using text analysis

Alexander Dyrnochkin, Vadim Moshkin, Irina Moshkina, Nadezhda Yarushkina

Proceedings Volume 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023); 130650O (2024) https://doi.org/10.1117/12.3025023
Event: Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 2023, Dushanbe, Tajikistan

Abstract

This article presents a description of a software service for analyzing text information for the formation of an OWL ontology. This software service analyzes the state of complex technical systems. The work describes the principles of operation of the service and presents the results of experiments on preprocessing and clustering of text data. The experimental results confirm the possibility of using the service to generate OWL ontologies.

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

Citation Download Citation

Alexander Dyrnochkin, Vadim Moshkin, Irina Moshkina, and Nadezhda Yarushkina "Extracting OWL-ontology classes of complex technical systems using text analysis", Proc. SPIE 13065, Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023), 130650O (20 February 2024); https://doi.org/10.1117/12.3025023

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