TY - Generic T1 - Explaining Trained Neural Networks with Semantic Web Technologies: First Steps T2 - Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy Y1 - 2017 A1 - Md Kamruzzaman Sarker A1 - Ning Xie A1 - Derek Doran A1 - Michael Raymer A1 - Pascal Hitzler KW - Artificial Intelligence AB -

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.

JF - Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy CY - London, UK UR - http://daselab.cs.wright.edu/nesy/NeSy17/ ER -