Automatic Annotation of HTML Documents Using the Microdata Standard

The development of an application that is based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of an 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
Automatic Documentation and Mathematical Linguistics
Published
2024-12-01
DOI
https://doi.org/10.3103/s0005105525700359
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
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article

Automatic Annotation of HTML Documents Using the Microdata Standard

Alexander Andreevich Ferenets, Timur Ferdinandovich Ibragimov
1 links
Automatic Documentation and Mathematical Linguistics
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 that is based on machine learning methods for automatic annotation of web pages according to the Microdata standard is described, with the possibility of an 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.

Automatic Documentation and Mathematical LinguisticsVol. 58(S5)
Kazan Federal University (RU)
Openalex Percentile: Top 54%
Web Data Mining and Analysis
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Automatic Annotation of HTML Documents Using the Microdata Standard — Alexander Andreevich Ferenets, Timur Ferdinandovich Ibragimov · Automatic Documentation and Mathematical Linguistics (2024) | TGRS Research Map | TGRS