Selection Methods of Digital Information Resources for Scientific Heritage Studies

Prokudin, Dmitry; Levit, Georgy S.; Hoßfeld, Uwe

doi:10.1145/3143699.3143739

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Results Of the Experiments On Clustering Text Data1

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2018

2024

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Cited by 5 publications

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“…Text preprocessing included the following methods: stemming, lemmatization, stop listing. [3] Five metrics were used as methods for assessing the accuracy of clustering based on labeled data: ARI, AMI, Homogenity, Completeness, V-measure. The results of this experiment are presented in Table 4.…”

Section: Results Of the Experiments On Clustering Text Datamentioning

confidence: 99%

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

Dyrnochkin,

Moshkin,

Moshkina

et al. 2024

Third International Conference on Optics, Computer Applications, and Materials Science (CMSD-III 2023)

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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.

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Section: Results Of the Experiments On Clustering Text Datamentioning

confidence: 99%