Research

The research group Querying, Indexing, and Discovery in Dynamic Data is primarily focused on frequently changing data, in particular streaming data of various kinds, but also on distributed systems, and dynamic structures such as network topologies etc. One goal is to devise novel methods for index creation and maintenance against the background of changing data. Efficient query processing in such a setting is a cross-topic challenge that touches various research aspects from information retrieval information discovery over data management to distributed systems and peer-to-peer topologies.

The research of our group is not solely focus on the traditional concept of data but look also in user actions as an additional source of information, like changing subscriptions to event streams, etc.

Current research directions consider streams obtained from blogs and other kinds of Web 2.0 portals in addition to the more traditional role of streams in network monitoring and in the environmental sciences.

Our group will also continue working on Peer-to-Peer data management (indexing) problems and efficient query processing methods, in particular for semi-structured and high dimensional data.