arXiv Machine Learning August 20, 2026 By Radek Burget, Radek Hranick\'y

Visual-Aware Representation of Web Pages for Machine Learning Applications

Read the original on arXiv Machine Learning →

The paper introduces a platform that renders web pages using FitLayout and captures their visual and structural properties in an RDF-based representation. The system offers a REST API for pipeline control, SPARQL queries for data retrieval, and a Python client to integrate with machine learning workflows. It demonstrates how rendered pages can be converted into graph representations to train graph neural networks for key content recognition, highlighting reproducibility and dataset sharing.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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