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 URLsURLs
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 URLsURLs
Selected Projects & Collaborations Polypheny: Multi-Model Data Management Research Project | 3 Project MembersPlypheny is a novel, innovative multi-model database systems that seamlessly combines different data models, query languagres and storage systems. StreamTeam Research Project | 2 Project MembersIn 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. vitrivr Research Project | 6 Project MembersWith 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.
Polypheny: Multi-Model Data Management Research Project | 3 Project MembersPlypheny is a novel, innovative multi-model database systems that seamlessly combines different data models, query languagres and storage systems.
StreamTeam Research Project | 2 Project MembersIn 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.
vitrivr Research Project | 6 Project MembersWith 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.