Start Date

10-17-2017 9:15 AM

Description

Semantic Web as a field of research and applications is concerned with methods and tools for data sharing, discovery, integration, and reuse, both on and off the World Wide Web. In the form of knowledge graphs and their underlying schemas, Semantic Web technologies are currently entering industrial mainstream. At the same time, the ever increasing prevalence of publicly available structured data on the Semantic Web enables new applications in a variety of domains, and as part of this presentation, 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.

Speaker's Bio

Pascal Hitzler is endowed NCR Distinguished Professor and Director of Data Science at the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio, U.S.A. His research record lists over 350 publications in such diverse areas as semantic web, neural-symbolic integration, knowledge representation and reasoning, machine learning, denotational semantics, and set-theoretic topology. He is Editor-in-chief of the Semantic Web journal by IOS Press - the leading journal in the field - and of the IOS Press book series Studies on the Semantic Web. He is co-author of the W3C Recommendation OWL 2 Primer, and of the book Foundations of Semantic Web Technologies by CRC Press, 2010 which was named as one out of seven Outstanding Academic Titles 2010 in Information and Computer Science by the American Library Association's Choice Magazine, and has translations into German and Chinese. He is on the editorial board of several journals and book series and is a founding steering committee member of the Web Reasoning and Rule Systems (RR) conference series, of the Neural-Symbolic Learning and Reasoning (NeSy) workshop series, and of the Association for Ontology Design and Patterns (ODPA). He also frequently acts as conference chair in various functions. For more information, see http://www.pascal-hitzler.de.

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Oct 17th, 9:15 AM

Ontology Modeling 2.0: Next Steps

Semantic Web as a field of research and applications is concerned with methods and tools for data sharing, discovery, integration, and reuse, both on and off the World Wide Web. In the form of knowledge graphs and their underlying schemas, Semantic Web technologies are currently entering industrial mainstream. At the same time, the ever increasing prevalence of publicly available structured data on the Semantic Web enables new applications in a variety of domains, and as part of this presentation, 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.