Home of Data - Databases and Information Systems

We are a subdivision of the Department of Computer Science at the University of Innsbruck.


Our passion lies in developing innovative methods for efficient data storage and analyses aiming to assist users and businesses to meet their information needs.





Today, Robert Binna will present our paper "HOT: A Height Optimized Trie Index for Main-Memory Database Systems" at this year's SIGMOD/PODS Conference. The developed main-memory index structure (called HOT) was joint work of Robert Binna, Eva Zangerle, Martin Pichl and Günther Specht together with Viktor Leis from the Technical University of Munich. The SIGMOD conference is one of the two major database conference (core ranking A*) and we are very proud to be part of this year's conference :)

You can find the paper here or in the official ACM SIGMOD proceedings.

Paper accepted at 15th Sound and Music Computing Conference

Our paper "#nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems", co-authored by Asmita Poddar (National Institute of Technology, Rourkela, India), Eva Zangerle (DBIS) and Yi-Hsuan Yang (Research Center for IT Innovation, Academia Sinica, Taiwan) has been accepted at this year's Sound and Music Computing Conference.

DBIS featured in Datenbank-Spektrum

Our research group is featured in the current issue of the Datenbank-Spektrum journal, which is the central outlet of the Fachgruppe Datenbanksysteme (working group for databases) of the German Informatics Society (GI). In this article, we present a short retrospective of the group's history and, more importantly, briefly present our research activities and accomplishments. You can find the article here.

DBIS@The Web Conference

It's a busy week for DBIS - Eva and Benjamin are presenting their work at The Web Conference in Lyon, France. 

Eva is presenting her paper "Recommendation-Assisted Data Curation for Wikidata" together with Claudia Müller-Birn of Freie Universität Berlin at the Wikipedia Workshop. Benjamin is presenting his paper "Detecting Music Genre Using Extreme Gradient Boosting" at the Challenges track, participating in the WWW 2018 Challenge: Learning to Recognize Musical Genre.