Explaining Trained Neural Networks with Semantic Web Technologies: First Steps

• DOI: 10.48550/arxiv.1710.04324
• Publication Date: 2017-01-01
• Authors: Sarker, Md Kamruz...; Xie, Ning; Doran, Derek; Raymer, Michael L.; Hitzler, Pascal
• Keywords: FOS: Computer and information sciences; Engineering; Artificial Intelligence (cs.AI); Computer Sciences; Computer Science - Artificial Intelligence; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

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.