00988nas a2200181 4500008004100000245008300041210006900124250000700193260002400200520041000224653002800634100002700662700001400689700001700703700002000720700002000740856004600760 2017 eng d00aExplaining Trained Neural Networks with Semantic Web Technologies: First Steps0 aExplaining Trained Neural Networks with Semantic Web Technologie a12 aLondon, UKc07/20173 a
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.
10aArtificial Intelligence1 aSarker, Md Kamruzzaman1 aXie, Ning1 aDoran, Derek1 aRaymer, Michael1 aHitzler, Pascal uhttp://daselab.cs.wright.edu/nesy/NeSy17/