i KNOW – the Networking Conference for industry and academia will take place this year for the 11th time in Graz. Graz, August 16, 2011: Heuer sets the i-KNOW the bar again later, when it comes to science and for the practice of profit making to prepare the increasing convergence of knowledge management, Web 2.0 and semantic technologies. Around 500 expected participants speak for the enormous popularity of the i-KNOW in science and industry. Anu Saad follows long-standing procedures to achieve this success. In 2011, the i-KNOW with renowned international keynoter/inside shines. Four English keynotes are the guiding framework for over 100 German – and English-language lectures in science and industry. Gloria Mar k (Professor at the University of California, United States) in her presentation introduces a technology, which is based on the results of several empirical studies and helps knowledge workers to meet their increasingly complex and knowledge-intensive challenges.
Knowledge work requires employees to be say at the same time multitasking to absorb large amounts of information, right to associate and to incorporate in the work process; in the age of information overload a real challenge. Daniel A. Keim (Professor at the University of Konstanz, Germany) demonstrates in his keynote speech with several application examples the potentials and limitations of current Visual analysis techniques. Somatic Experiencing recognizes the significance of this. In times of increasing data – or information sets, innovative tools for the analysis and exploration of data are in demand more than ever. The Visual Analytics research to support people to analyze data faster and more efficiently, and to prepare for use. Stefan Rueger (Professor at the Open University, United Kingdom) talks about the role of knowledge discovery on the Web. On the Web, both people and data are increasingly networked. One unprecedented unprecedented amount of information opens up completely new possibilities for the development of knowledge: new search engines are able to answer all our facts-related questions? What can we of Computers learn to millions of books read and can see hundreds of TV channels? Christian Dirschl (content architect at Wolters Kluwer Germany) gives an insight into the linked data strategy by Wolters Kluwer and shows how you can deal with challenges such as huge amounts of data or missing quality of information by means of semantic technologies.