Michael Schneider
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Michael Schneider is a research scientist at FZI. His interests center on RDF- and OWL-based Semantic Web technologies, in particular reasoning, and on adaptive systems.

In the EU-Project SEALS, he is concerned with the evaluation of reasoning systems and ontology engineering tools. In addition, he is working on semSL, a concept for tagging and linking places and objects in the 3D-world Second Life.

In the now completed EU-Project Agent-DYSL he has created the ontology infrastructure for an adaptive reading environment for pupils with dyslexia and, for an extended period, he was responsible for the coordination of the software development process in the whole project. As a participant of the W3C OWL Working Group he was actively involved in the standardization of the Semantic Web ontology language OWL 2, amongst other things as the editor of the OWL 2 RDF-Based Semantics specification.

At the University of Frankfurt am Main (Germany), Michael Schneider has studied computer science and received his diploma with distinction. The focus of his studies was on neural networks, algorithmic learning theory, and functional programming in his main subject, as well as on logic and the theory of science in his subsidiary subject philosophy. He has also studied mathematics as another subsidary subject for several years. In his diploma thesis (in German) he developed a system for the verification of manual signatures.

Starting as a student, and then as a freelancer, Michael Schneider has worked for the company Sungard as a software developer for two years. Between October 2005 and March 2007, he was a research assistant in the working group "Adaptive System Architecture" of Prof. Brause at the Institute of Computer Science of the University of Frankfurt. Since his time as a student, he has worked for numerous university courses as a tutor and was involved in designing some of these courses.


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as author at  1st SEALS Tutorial – Semantic evaluation at large scale,
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as author at  1st SEALS Tutorial – Semantic evaluation at large scale,