i-KNOW 2014 aims at advancing research at the intersection of disciplines such as Knowledge Discovery, Semantics, Information Visualization, Visual Analytics, Social (Semantic) and Ubiquitous Computing. The goal of integrating these approaches is to create cognitive computing systems that will enable humans to utilize massive amounts of data. Since 2001, i-KNOW has successfully brought together leading researchers and developers from these fields and attracted over 450 international attendees every year. The international conference is held annually in Graz, Austria and organized by the Know-Center and Graz University of Technology.
We are very proud to announce our high-profile keynote speakers for 2014
- Viktor Mayer-Schönberger on BIG DATA, Professor of Internet Governance and Regulation, University of Oxford
- Etienne Wenger-Trayner on OPEN LEARNING AND TEACHING: PERSPECTIVES FROM SOCIAL LEARNING THEORY, Wenger-Trayner Consulting
- More keynote speakers to be announced soon
We are proud that EC-TEL 2014 (European Conference on Technology Enhanced Learning) will be co-located with i-KNOW 2014 in Graz. Therefore, we are also specifically interested in contributions which bridge the two conferences. Topics historically covered at our conference (such as semantics, LOD, social semantic web) will also be integrated into i-KNOW 2014 and contributions are encouraged to also cover these topics.
Note to i-KNOW veterans
For the past 13 years, i-KNOW has focused on knowledge technologies which build the basis for knowledge management. In the light of new trends such as big data and the massive utilization of mobile devices we think it is time to embrace new developments in order to create systems which interact naturally with humans, learn from their experiences and generate and evaluate evidence-based hypotheses. That is, we interpret cognitive computing as the convergence of various knowledge technologies research fields. On the other hand, data-driven business represents the business perspective on cognitive computing and takes application specific knowledge (such as semantics) into account.