ViERforES - Virtuelle und Erweiterte Realität für höchste Sicherheit und Zuverlässigkeit von 'Embedded Systems'

Further information can be found  here (in german).

Computergenerierte expressive Musikdarbietung für die musikwissenschaftliche Höranalyse

A joined research project between the research groups  Visual Computing and Data & Knowledge Engineering of the Faculty and the  Zentrum für Telemannpflege und -Forschung Magdeburg. 

Bisociation Networks for Creative Information Discovery (BISON)

BISON is a research project funded by the European Commission under the Seventh Framework Programme. The goal of BISON is to explore the concept of bisociative discovery on the basis of graph-based data mining. While current ICT approaches provide methodologies and tools for association-based search and processing of information, there is currently no comprehensive ICT methodology or tool which facilitates the bisociative exploration for discovery and design tasks. The overall aim of the BISON project is to develop and validate a computational methodology, which facilitates bisociative information discovery in large-scale heterogeneous information environments.

Detailed Information about this project can be found at   http://www.bisonet.eu.

Adaptive and User Centered Methods for Organisation und Exploration of Digital Music Archives (AUCOMA)

User Adaptive Information Retrieval Interfaces

During the last years several approaches have been developed that tackle specific problems of the retrieval process, e.g. feature extraction methods for multimedia data, problem specific similarity measures and interactive user interfaces. These methods enable the design of efficient retrieval tools if the user is able to provide an appropriate query. However, in most cases the user needs several steps in order to find the searched objects. The main reasons for this are on the one hand, the problem of users to specify their interests in the form of a well defined query (which is partially caused by inappropriate user interfaces), on the other hand, the problem of extracting relevant features from the (multimedia) objects. Furthermore, user specific interests and search context are usually neglected when objects are retrieved.

To improve today's retrieval tools and thus the overall satisfaction of a user, it is necessary to develop methods that are able to support the user in the search process, e.g. by providing additional information about the search results as well as the data collection itself and also by adapting the retrieval tool to the user's needs and interests.

Nature-inspired Smart Information Systems (NiSIS)

Detailed Information about this project can be found at  www.nisis.de.

Building Personalised off-line Self-Service Repositories

User Adaptive Search Interfaces

This task force has been formed as part for the European Network of Excellence on Intelligent Technologies for Smart Adaptive Systems (EUNITE) to review the state of the art in user adaptive search interfaces and to initiate and intensify research collaboration between different research communities and the industry.

For further details see the  project page.