Tobias Käfer/en
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Dr.-Ing. Tobias Käfer
- Research Associate
- Phone: +49 721 608 4 6558
- Email: tobias kaefer∂kit edu
- Room: 5A-23 (Building: 05.20)
- Research Group: Web Science
- vCard
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.
| Since 2019 | PostDoc in the research group Web Science |
| 2018 | Defense of my PhD thesis entitled "Behaviour on Linked Data" |
| 2014 | Research visit at Universidad de Chile |
| Since 2013 | Researcher at Institute AIFB at Karlsruhe Institute of Technology (KIT) |
| 2013 | Graduation in Industrial Engineering and Management from Karlsruhe Insitute of Technology (KIT) with the thesis "Network Analyses on Linked Data Graphs" |
| 2011 | Research visit at DERI, Galway, Irland (now the Insight Centre for Data Analytics) |
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External Link: https://www.cost.eu/actions/CA19134/ |
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External Link: https://datascore.int.kit.edu/ |
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External Link: http://www.softwarecampus.de |
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- Semantic Technologies, Knowledge Representation And Reasoning, Information Systems, Agent Systems, Workflow Management, Big Data, Internet of Things, Artificial Intelligence, Data Science, Blockchain