For all interested parties: Have a look at our conference Video and also to our Keynote session recordings:
The recordings can be found under the following link:
The conference will start on Monday, 25th July and end on Thursday, 28th July. On Tuesday, Wednesday and Thursday, social events will take place to have plenty of time for networking. A full-day social event is planned for Friday, 29th, if enough participants enroll.
The first draft of our programme is ready, please check if your paper has a presentation slot, names and title of presentation are correct, if corrections are necessary, just give me notice: firstname.lastname@example.org
For detailed information about our social events please have a look here:
Director of DFKI, Kaiserslautern
Andreas Dengel is Head of Site and also Scientific Director of the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum für Künstliche Intelligenz) (DFKI) in Kaiserslautern. Since 1993 he is also Chair in „Knowledge-based systems“ at the Faculty for Computer Science of the Technical University Kaiserslautern and since 2009 Honorary Professor at the Department of Computer Science and Information Systems of the Osaka Prefecture University in Japan. Andreas Dengel is author of many books and editor of several international journals. He is also counsellor of international companies in the area of strategic technological development and founder/ initiator of a dozen successful Start-Up companies, one of these was awarded with the Cebit Innovation Award 2015.
Talk Title: Digital Co-Creation and Augmented Learning
UCL Institute of Education, UK
Talk Title: Of clouds and cables: what do students need when they learn with technology? (Abstract)
Martin Oliver is Professor of Education and Technology at the UCL Institute of Education, in London. He leads the Institute’s Centre for Doctoral Education, both providing and researching doctoral programmes in education and related social sciences. His own research explores the links between technology, Higher Education, student experience and the design of curricula.
Talk Title: Why Knowledge when Data Suffices (Abstract)
Dr. Sheng-Chuan Wu received his Ph.D. in Scientific Computing and Computer Graphics from Cornell University in the US. He has, since graduation, involved in several software companies, including the founding of the first integrated CAD/CAM/CAE company. In the last 20 years, he worked as a senior corporate executive at the leading Artificial Intelligence and Semantic Technology company, Franz Inc in Silicon Valley, with responsibility in application development, marketing, consulting and new business development. Dr. Wu has also in many occasions collaborated with Bioinformatics experts from Harvard Medical School, Stanford University and Astra Zeneca, working with massive biological data.
Dr. Wu has been focusing on Semantic Technology over the last 8 years. He routinely lectured on AI and Semantic Technology at conferences. He has, since 2007, conducted more than 20 week-long workshops on Semantic Technology and Artificial Intelligence in Malaysia, China, Singapore, India and other Asian countries. Dr. Wu has also consulted on several Big Data and Semantic Technology projects in the US and Asia. Some of the projects include: Biodiversity Repository, Precision Agriculture for Citrus Plantation, Telecom Customer Relation Management, Malaysia R&D Knowledgebase, Intelligence analytics, Meta Data Management, Smart City and E-Learning System.
Prof. K. Chandra Sekaran
National Institute of Technology Karnataka, India
Title: Secure Knowledge Management
The Tutorial will cover the following topics:
- Information and Knowledge architecture and transition
- Secure Knowledge and Securing Knowledge – approaches and methodologies
- Secure Knowledge Management – our perception and Framework
- Secure Knowledge Management – A working model in the organization
- Architecting SKM
- Research in this domain
- Q & A
Prof. Brett Oppegaard
University of Hawaii, USA
Title: Putting Education Back Into Place: Exploring the Potential of Locative Learning Through Mobile Technologies