|Title||Explaining Trained Neural Networks with Semantic Web Technologies: First Steps|
|Publication Type||Conference Proceedings|
|Year of Publication||2017|
|Authors||Kamruzzaman, SMd, Xie, N, Doran, D, Raymer, M, Hitzler, P|
|Conference Name||Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy|
|Conference Location||London, UK|
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.