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.

 

 

News

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.


Paper and Poster @CICLing

Segmentation of Job AdsDBIS is represented twice on the 19th CICLing conference in Hanoi, Vietnam. On March 19th, Benjamin presented his paper "On the Influence of Machine Translation on Language Origin Obfuscation", which explains how the original language of translated documents can be detected. Later that day, Michaels work "Algorithmic Segmentation of Job Ads Using Textual Analysis" was presented as part of the poster session, yielding interesting discussions from many different fields.


Two papers accepted at CICLing 2018

Two DBIS papers were accepted at the International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2018, a well-known and established conference in the field of natural language processing. Benjamin evaluated the automatic detection of the origin of a machine translated text, and Michael proposed a new algorithm to automatically segment job ads. Both papers will be presented at the conference at the end of this month in Hanoi, Vietnam and will be published in a Springer LNCS volume.


Invited Talk at TU Vienna

Last week, Eva held an invited talk about "Evaluating the Users’ Experience: A Call for Utilizing Multi-Method Evaluations for Recommender Systems" at the Technical University (TU) Vienna, where she discussed how user-centric evaluations of recommender systems could be improved utilizing multiple perspectives. You can find the abstract of the talk on the news page of TU Vienna.


Full paper accepted at SIGMOD 2018

Our paper "HOT: A Height Optimized Trie Index for Main-Memory Database Systems" was accepted at the 2018 ACM SIGMOD/PODS International Conference on Management of Data. The paper was co-authored by Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht (all DBIS) and Viktor Leis from the Technical University Munich. The SIGMOD conference is among the most reknown and important venues in the field of core database systems (core ranking A*) and naturally, we are very happy about this huge success :)


Happy Holidays

The DBIS team wishes merry christmas, happy holidays and all the best to you in the year to come :)


DBIS@THE IEEE Symposium on Multimedia

At the moment, the 19 IEEE Symposium on Multimedia takes place in Taichung, Taiwan. Yesterday, Martin held a talk about the joint research between the University of Innsbruck and the Johannes Kepler University: He presented the paper "Mining Culture-Specific Music Listening Behavior from Social Media Data" by Martin Pichl, Eva Zangerle, Grünther Specht and Markus Schedl. The paper was also presented in the poster session in the evening, triggering an interesting discussion with other researchers. 


DBIS@Digital Humanities Austria Conference

This year, the 4th Digital Humanities Austria Conference will take place in Innsbruck. The DBIS team will be highly involved, taking part and presenting research on various topics:

  • Eva Zangerle, Michael Tschuggnall, Stefan Wurzinger and Günther Specht will be presenting a poster on "Analyzing Coherent Characteristics in Music Playlists" (actually covering parts of Stefan's master thesis)
  • Barbara Laner, Andy Stauder, Eva Zangerle and Theo Hug will be presenting a poster on "Visualization Strategies for Digital Archives. The Case of the Ernst-von-Glasersfeld-Archive"
  • Gerald Hiebel, Claudia Posch, Gerhard Rampl, Elisabeth Gruber, Klaus Hanke and Eva Zangerle will present their work on "Semantics for Mountaineering History"
  • Gerald Hiebel, Claudia Posch, Gerhard Rampl and Eva Zangerle have organized a panel on "Building Bridges - Corpus linguistics and Digital Humanities"


Also, Günther Specht and Eva Zangerle have served in the Program Committee of the conference and will be chairing a session at the conference.


DBIS@WikidataCon 2017

Last week, Adelheid Heftberger presented our work on "Employing Wikidata for Fostering Scholarly Research" at WikidataCon, the largest conference on Wikidata, in Berlin. In this work, we propose a novel workflow that allows how an annotation tool may integrate articles of disciplines of the humanities to annotate these articles and to subsequently, automatically ingest the annotations into the Wikidata platform. A first prototype of such a workflow has already been developed in a cooperation of Eva Zangerle with Freie Universität Berlin, Brandenburgisches Zentrum für Medienwissenschaften and Berlin-Brandenburgische Akademie der Wissenschaften.

Please find further information on the publication on the according submission website and in the video recording of the presentation session (our talk begins at 16:15).