Learning and Knowledge Engineering
In learning technologies and knowledge engineering the research team of Prof. Dr. Christoph Meinel focus on the challenging question, how to manage the mass of digital data, so-called &quot;big data&quot;, from Internet and other sources in order to generate and to distribute new knowledge. Research work is concentrated mainly in the following contexts:
Web-University - e-Learning and tele-teaching,
Web3.0 - Semantic Web and Social Media Analysis,
E-Health - IT-based medical knowledge engineering.
The research and development work of in the field of Web-University is directed to create novel virtual learning environments by designing, implementing, and testing innovative Internet-based froms of teaching and learning to support students and learners to acquire new knowledge. Results are incorporated and tested in the self developed MOOC platform openHPI, the lecture portal tele-TASK and the CSCW collaboration tool Tele-Board.
Research and development in Semantic Web and Social Media are focusing on designing, implementing, and testing new methods and techniques for acquiring content information and knowledge from the mass of data available in Internet and WWW. Here the team of Prof. Dr. Christoph Meinel is mainly focused on how to automatically detect content and semantic inside of vidoes in order to support users in searching and navigating inside of videos. Results of that research are incorporated in the huge video archive of tele-TASK recordings of university lectures.
In the field of E-Health research at the chair of Prof. Dr. Christoph Meinel on knowledgement engineering is concentrated on how patient and health treatment date can be safely stored, and securely communicated, processed, and analysed.