Research

Intrinsic Plagiarism Detection and Authorship Analysis

Authorship Analysis and Cross-Language Grammar Features

Capturing the essence of the writing style of authors is an important research area in natural language processing. It allows to identify and attribute the author of a previously unseen document, perform so-called style change detection (find the positions at which the author changes within a document), detect plagiarism intrinsically, develop new technology for writing support, or perform forensic analyses.

Bioinformatics

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.

freeBIM-PropertyServer

With Building Information Modeling (BIM), all data that accrues in the course of the life cycle of a construction project will be collected and provided to all involved agents, from the idea for the project to the planning, the construction, the operation, and the utilization of the resources after the demolition. For this purpose, we work intensely on a standardization and internationalization of the properties in use, with their dimensions, units, responsibilities and dependencies on the project phase. As part of two cooperation projects with Tyrolean companies ...

Music Information Retrieval

Music is ubiquitous in today's world-almost everyone enjoys listening to music. With the rise of streaming platforms, the amount of music available has substantially increased. While users may seemingly benefit from this plethora of available music, at the same time, it has increasingly made it harder for users to explore new music and find songs they like.

Recommender Systems and User Modeling

Recommender systems are ubiquitous in the digital world and largely determine the options that humans get to choose from on web platforms, from online shopping to music streaming. Recommender systems are mostly built upon statistics of past collective user behavior to mimic human preference and decision-making, assuming that users like what similar users liked in the past (so-called collaborative filtering).

Former Research

Index Structures for Main Memory Database Systems	With the exponential growth of data available in the digital universe, having fast and space efficient access to data is increasingly becoming more and more important. At the same time, the amount of main memory have reached capacities that even large enterprise datasets can entirely be kept in RAM. To create state of the art data management systems, it is crucial to optimize those systems for modern hardware, in particular for concurrency, cache and space efficiency.
Isochrone	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
Mobile Database Systems	The field of research of Mobile Computing is based on the invention and commercialization of the first wearable computer by Adam Osborn in April 1981. The developed computer is not comparable to today's mobile computers, which can be bought even in supermarkets. The suitcase-sized computer and its included 5-inch monitor weights about 12kg and consists of two Z80-processors CP/M and two floppy-drives. However the computer set new standards in the are of mobile computers.
Semantic Integrity Constraints in Multimedia Database Systems	In diesem DFG-Projekt wird ein Integritätskonzept für Multimedia-Datenbanksysteme erarbeitet, das eine formale Spezifikationssprache für semantische, temporale und strukturelle Integritätsbedingungen, ein Ausführungsmodell und ein Interaktions- und Integrationskonzept in die Transaktionsverwaltung und die Query-Auswertung eines Multimedia-Datenbanksystems umfasst. Der Begriff Integrität wird dabei wesentlich weiter gefasst als bisher.
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.