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arXiv · 1710.04324

Explaining Trained Neural Networks with Semantic Web Technologies: First Steps

Md Kamruzzaman Sarker·Ning Xie·Derek Doran·Michael Raymer·Pascal Hitzler
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Abstract

The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains. In this paper, we provide a conceptual approach that leverages such data in order to explain the input-output behavior of trained artificial neural networks. We apply existing Semantic Web technologies in order to provide an experimental proof of concept.

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Md Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael Raymer, Pascal Hitzler. 2017-10-11. Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. https://arxiv.org/abs/1710.04324

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