Project Details
Projekt
GRK 1042: Explorative Analysis and Visualisation of Large Information Spaces
Subject Area
Computer Science
Term
from 2004 to 2013
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 374991
Central to the research programmes of the Research Training Group is the development of methods, especially within the framework of visualisation and computer graphics, in support of data mining, data analysis, and the management of large information spaces, whereby the information spaces themselves may be visual in nature, i.e., in form of multimedia documents or complex geometric structures. The subject areas most relevant within the programme are information visualisation, computer graphics, human computer interaction, intelligent data analysis, information retrieval, database and information systems, as well as digital communication. One of the objectives of data mining and data analysis is to find new, previously unknown, yet useful information.
The research aims at perfecting existing procedures to be more effective and more efficient, and at the same time it seeks to develop new procedures with regard to exploration and analysis, which serve more adequately special requirements, such as the vast information stored and transferred in the internet. The information must first be analysed and clustered, as well as qualified. To complete this process, methods of knowledge representation within the area of information science, as well as data modelling methods within the area of database systems are needed. Hence, the information modelling is the starting point for the actual exploration of the data. The latter should be worked through using a combination of automatic cluster analysis procedures, knowledge based semantic analysis, and an interactive visualisation of the data. An important range of application lies within the explorative analysis of vast amount of bio information data, and this commitment embraces most of the goals and objectives aimed at by the college.
The research aims at perfecting existing procedures to be more effective and more efficient, and at the same time it seeks to develop new procedures with regard to exploration and analysis, which serve more adequately special requirements, such as the vast information stored and transferred in the internet. The information must first be analysed and clustered, as well as qualified. To complete this process, methods of knowledge representation within the area of information science, as well as data modelling methods within the area of database systems are needed. Hence, the information modelling is the starting point for the actual exploration of the data. The latter should be worked through using a combination of automatic cluster analysis procedures, knowledge based semantic analysis, and an interactive visualisation of the data. An important range of application lies within the explorative analysis of vast amount of bio information data, and this commitment embraces most of the goals and objectives aimed at by the college.
DFG Programme
Research Training Groups
Applicant Institution
Universität Konstanz
Spokesperson
Professor Dr. Dietmar Saupe
Participating Researchers
Professor Dr. Michael R. Berthold; Professor Dr. Ulrik Brandes; Professor Dr. Oliver Deussen; Professor Dr. Daniel Keim; Professor Dr. Stefan Leue; Professorin Dr.-Ing. Dorit Merhof; Professor Dr. Harald Reiterer; Professor Dr. Steffen Rendle; Professor Dr.-Ing. Marc H. Scholl; Professor Dr. Tobias Schreck; Professor Dr. Marcel Waldvogel
