The cooperation between the Genetic Epidemiology, Medical University Innsbruck (Univ.-Prof Florian Kronenberg) and the Research Group Databases and Information Systems  (DBIS, Univ.-Prof Günther Specht) already started in 2007. The overall goal of the cooperation is to find new ways of storing and processing big data derived from Next Generation Sequencing (NGS) using RDBMS as well as NoSql Systems. Parallelization strategies like MapReduce, usability of developed systems and reproducability of results are two major aspects within the cooperation.

Context-aware Music Recommendation

At the moment we are facing a fundamental change in the way people consume music: More and more people switch from private, mostly limited music collections to public music streaming collections containing several millions of tracks generating tons of data. The usability of such streaming services heavily relies on good recommender systems assisting users in discovering music they like. This makes the field of music recommendation and music information retrieval in a highly interesting topic for academia as well as industry.

Intrinsic Plagiarism Detection and Author Analysis

Today more and more text documents are made publicly available through large text collections or literary databases. As recent events show, the detection of plagiarism in such systems becomes considerably more important. To counter this problem, we propose the Plag-Inn algorithm in different variants, which attempt to expose plagiarism in text documents by analyzing the grammar of authors and finding significant stylistic differences within a single document.


Isochrones in unimodal networks have been used in city planning for more than forty years. The information technology of the 21st century has enabled the calculation of them in multimodal networks. This means that various travel types, like using a bus, driving a car and going by feet, are observed. This takes the computation of isochrones to a much more complex level. We develop and improve algorithms that can be used to calculate large isochrones in multimodal networks.

Microblog Analyses and Recommendations

In this research project we investigate how people use Microblogs and develop methods that aim to support users in the every-day-use of Microblogging platforms. Particularly, our research focuses on the development of recommender systems to support users by providing recommendations for suitable hashtags

Semistructured Data and Recommendations

In collaborative knowledge bases a common structure of the stored information is crucial for providing efficient and precise search facilities. Our research aims to advance current recommendation approaches for semi-structured data to overcome structure heterogeneity and to develop tools to support users in the process of information curation.

Understanding Wikipedia Usage and Quality

In this project we aim to develop novel methods that contribute to increased quality of Wikipedia articles. This includes novel quality measures for articles and developing tools that support users in the process of entering information.