Tobias Käfer/en

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In my research, I connect the modelling of behaviour (eg. from Artificial Intelligence, Cognitive Systems, Business Process Modelling, and dynamical systems) with web technologies for semantic knowledge representation (Knowledge Graphs, RDF, OWL) and system interaction (HTTP). With this basis at hand, we can specify web agents, also called intelligent clients, which can automate things for you on the web, the Internet of Things, or in Industry 4.0. In the area of analytics, I investigate methods to analyse time series of semantically described data, e.g. the evolution of data on the Linked Data web.

Currently, I coordinate the COST Action 19134, a European network on the topic of Distributed Knowledge Graphs.


Find an overview on my publications here, on Google Scholar, and on DBLP.


Find some code I wrote on Github, where I publish Read-Write Linked Data (REST + Linked Data) intefaces to systems, IoT sensors and actuators, and services, besides code to harvest and process Linked Data.

Brief CV
Since 2019PostDoc in the research group Web Science
2018Defense of my PhD thesis entitled "Behaviour on Linked Data"
2014Research visit at Universidad de Chile
Since 2013Researcher at Institute AIFB at Karlsruhe Institute of Technology (KIT)
2013Graduation in Industrial Engineering and Management from Karlsruhe Insitute of Technology (KIT) with the thesis "Network Analyses on Linked Data Graphs"
2011Research visit at DERI, Galway, Irland (now the Insight Centre for Data Analytics)

Active Projects


External Link:


Software Campus

External Link:



Research area
Semantic Technologies, Knowledge Representation And Reasoning, Information Systems, Agent Systems, Workflow Management, Big Data, Internet of Things, Artificial Intelligence, Data Science, Blockchain