Paper on Web Table Classification accepted at ICWE 2021

Our paper „Web Table Classification based on Visual Features“ has been accepted at the International Conference on Web Engineering.

The paper was co-authored by Babette Bühler, formerly a student in the Mannheim Master in Data Science and now a PhD student at the Hector Research Institute of Education Sciences and Psychology at the University of Tübingen, and Heiko Paulheim. It discusses a new approach for classifying tables on the Web. While current approaches use explicit features derived from the HTML code, the paper explores a different approach by rendering the table as an image, and using pre-trained neural networks for image classification.

A preprint of the paper will be available soon.

The code and data for the paper are available here.

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