Automatic Annotation of HTML Documents using the Microdata Standard

The development of an application based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of extension to other standards and injecting data to JSX files. Datasets were collected and prepared for training Machine Learning (ML) models. The ML model metrics were collected and analyzed.

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Publication Details

Journal
Russian Digital Libraries Journal
Published
2024-11-27
DOI
https://doi.org/10.26907/1562-5419-2024-27-5-730-744
Primary Topic
Web Data Mining and Analysis
Type
article
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article

Automatic Annotation of HTML Documents using the Microdata Standard

Alexander Andreevich Ferenets, Timur Ferdinandovich Ibragimov
1 links
Russian Digital Libraries Journal
Web Data Mining and Analysis
article

Automatic Annotation of HTML Documents using the Microdata Standard

Alexander Andreevich Ferenets, Timur Ferdinandovich Ibragimov
article en

Abstract

The development of an application based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of extension to other standards and injecting data to JSX files. Datasets were collected and prepared for training Machine Learning (ML) models. The ML model metrics were collected and analyzed.

Russian Digital Libraries JournalVol. 27(5)
Openalex Percentile: Top 51%
Web Data Mining and Analysis
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Automatic Annotation of HTML Documents using the Microdata Standard — Alexander Andreevich Ferenets, Timur Ferdinandovich Ibragimov · Russian Digital Libraries Journal (2024) | TGRS Research Map | TGRS