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Experimentally and Formally addressing the Dynamics of Linked Data

Abstract:

The Linked Data best practices for data publishing encourage the use of RDF to describe URI-identified resources on the Web. As those resources reflect things in the real world, which is without a doubt dynamic, the dynamics of Linked Data should not be neglected. In this talk I report on experimental work on dynamic Linked Data that is based on the Dynamic Linked Data Observatory, a long-term data collection of Linked Data on the Web. Moreover, I cover formal work to capture the dynamics of Linked Data with the aim to specify agents on the Linked Data web using rules. Last, I showcase applications based on the talk topics from the area of cyber-physical systems and the Web of Things.

Bio:

Tobias Käfer is a PhD student at Karlsruhe Institute of Technology (KIT), Germany. After graduating from KIT in Industrial Engineering as Dipl.-Wi.-Ing., he started as a research associate and PhD student in the research group Web Science and Knowledge Management of Prof. Dr. Rudi Studer and Prof. Dr. York Sure-Vetter at the institute for Applied Informatics and Formal Description Methods (AIFB) at KIT under the supervision of PD Dr. Andreas Harth. His main research interests are dynamic aspects of Linked Data, REST-based systems, and workflows. He has worked as an intern at DERI, IBM, and Siemens.

Tobias Käfer
13.07.2017 - 10:15
B 017