This course deals with the idea of bringing knowledge into applications
to support users in daily life. It therefore covers topics on how
knowledge can be represented to be machine-understandable, how knowledge
can be acquired from different sources (including Web scraping) and how
such different knowledge chunks can be linked. It will further discuss
how to reason about knowledge and how different agents like websites, AR
applications or robots can use knowledge to support users in their
daily life. All exercises will be available in platform-independent
jupyter notebooks based on python and have low software requirements.