UNIverse - Public Research Portal

Databases and Information Systems

The main focus of the DBIS group is the development of novel database concepts and their application to large-scale distributed information systems, in particular to Data Management in the Cloud, Multimedia Information Retrieval, and Service-oriented Architectures & Process-based Systems (Workflows).

Follow this link for further information

Selected Publications

Schuldt, Heiko, Alonso, Gustavo, & Schek, Hans-Jorg. (1999). Concurrency control and recovery in transactional process management. 316–326. https://doi.org/10.1145/303976.304007

URLs

URLs

Selected Projects & Collaborations

Project cover

Polypheny: Multi-Model Data Management

Research Project | 3 Project Members

Plypheny is a novel, innovative multi-model database systems that seamlessly combines different data models, query languagres and storage systems.

Project cover

StreamTeam

Research Project | 2 Project Members

In a large variety of applications, sensors of different types are deployed to continuously capture their environment. The applications then have to process and analyze the streams of data generated by these sensors. Sensor analysis is quite challenging when not only the activities of individuals but also the interaction of individuals has to be assessed (e.g., the collective actions of players in a sports team). In our work, we aim at monitoring, coordinating, and analyzing the actions of teams of individuals in real-time in highly dynamic and mobile environments in a robust and scalable way. This is done by following a workflow-oriented approach that goes beyond the mere data collection about sensed facts and the post-hoc analysis of simple events.

Project cover

vitrivr

Research Project | 6 Project Members

With the tremendous increase of video recording devices and the resulting abundance of digital video, finding a particular video sequence in ever-growing collections is more and more becoming a major challenge. Existing approaches to retrieve videos mostly still rely on text-based retrieval techniques to find desired sequences. With vitrivr , we have open sourced our Cineast retrieval engine and the ADAM database back-end in order to encourage a large and creative community of open source developers to actively participate in the development.