Researchers have developed a new platform to enable machine learning applications on web pages by capturing their visual and structural properties. This platform uses the FitLayout tool to render web pages, storing their visual and layout details in an RDF-based representation. A Python client library and REST API facilitate integration with standard machine learning workflows, allowing for the creation of graph-based representations to train graph neural networks for tasks like identifying key content elements. AI
IMPACT Enables new approaches to web data analysis and machine learning tasks by integrating visual and structural page information.
RANK_REASON The cluster describes a research paper detailing a new platform and methodology for machine learning on web pages.
- alphaXiv
- CatalyzeX
- Connected Papers
- CORE Recommender
- DagsHub
- FitLayout
- Gotit.pub
- graph neural networks
- Hugging Face
- IArxiv Recommender
- Litmaps
- Python
- Resource Description Framework
- ScienceCast
- scite Smart Citations
- SPARQL
- IArxiv
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