Welcome to the Database Research Group
The Database Research Group is part of the Department of Computer Sciences
at the University of Salzburg, Austria. Our research interests include
data-centric applications in database and information systems with a
particular focus on similarity search queries over large data collections,
for example, approximate matching of strings and trees, efficient indexes
for distance computations, and top-k queries. Other fields of research
include load balancing algorithms for distributed frameworks like MapReduce
and queries in geographic information systems. The research results are new
algorithms with performance guarantees, which are implemented and evaluated
on the motivating application.
Head of the Database Research Group
Paper at SIGMOD 2019
Our paper "A Scalable Index for Top-k Subtree Similarity Queries" got accepted at the ACM Special Interest Group on Management of Data (SIGMOD) 2019.
Paper at ICDE 2019
Our paper "Effective Filters and Linear Time Verification for Tree Similarity Joins" got accepted at the IEEE International Conference on Data Engineering (ICDE) 2019.
Paper at SISAP 2017
Our paper "A New Perspective on the Tree Edit Distance" by Stefan Schwarz, Mateusz Pawlik, and Nikolaus Augsten has been published and presented in Munich at SISAP 2017
conference. You can read it [HERE]
Invited Talk - Austrian Computer Science Day
Nikolaus Augsten presented an invited talk "Effiziente Techniken für Ähnlichkeitsabfragen in hierarchischen Daten" at ACSD 2017 / IMAGINE 2017
in Vienna. The slides are available for download
Informatiker der Woche
Nikolaus Augsten interviewed as "Informatiker der Woche" (computer scientist of the week).
Find the full interview [HERE]
Kurt-Zopf Award for Best Paper
Our TODS paper
on the efficient computation of the tree edit distance received
awarded by University of Salzburg to
the best journal paper 2015.
New project funded
Our research project "FFTED - Fast and Flexible Tree Edit Distance"
has been funded by Austrian Science
. Find more details [HERE]