@proceedings {606,
	title = {Explaining Trained Neural Networks with Semantic Web Technologies: First Steps},
	journal = {Twelveth International Workshop on Neural-Symbolic Learning and Reasoning, NeSy},
	year = {2017},
	month = {07/2017},
	edition = {12},
	address = {London, UK},
	abstract = {<p>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.</p>
},
	keywords = {Artificial Intelligence},
	url = {http://daselab.cs.wright.edu/nesy/NeSy17/},
	author = {Md Kamruzzaman Sarker and Ning Xie and Derek Doran and Michael Raymer and Pascal Hitzler}
}
