Mateusz Pawlik, PhD
My research journey started during my Erasmus 2006/2007 when I visited Free University of Bozen-Bolzano, Italy. I did an internship under the supervision of Prof. Johann Gamper and worked on the temporal multidimensional aggregation. In 2009 I received my M.Sc. degree in Computer Science from Adam Mickiewicz University of Poznań, Poland. I wrote my master thesis "Storing and Retrieving Trajectories of Mobile Objects in Spatio-Temporal Databases" under the supervision of Prof. Tadeusz Pankowski.
I went back to Free University of Bozen-Bolzano to do my PhD under the supervision of Prof. Nikolaus Augsten. I graduated in 2014 with the thesis "Efficient Computation of the Tree Edit Distance". The examination committee was composed of Prof. Alfons Kemper (Technische Universität München, Germany), Hélène Touzet (INRIA and University Lille, France), and Prof. Enrico Franconi (Free University of Bozen-Bolzano, Italy).
My current research is focused on similarity of hierarchical data with an emphasis on ordered trees. I am devoted to developing efficient and highly applicable solutions for comparing tree structures in the context of tree-to-tree matching and similarity join queries. I am particularly interested in scalable algorithms for computing minimal and meaningful edit mappings between trees.
Tree Edit Distance - reference website to measuring similarity of tree structured data using the tree edit distance measure. The runnable and source code of the RTED algorithm - most efficient tree edit distance algorithm.
Mateusz Pawlik and Nikolaus Augsten. Tree edit distance: Robust and memory-efficient. Information Systems. 2016.
M. Pawlik, N. Augsten. Efficient Computation of the Tree Edit Distance. In ACM Transactions on Database Systems (TODS). 2015.
M.Pawlik and N.Augsten. A Memory-Efficient Tree Edit Distance Algorithm. In International Conference on Database and Expert Systems Applications (DEXA). 2014.
M. Pawlik and N. Augsten. RTED: a robust algorithm for the tree edit distance. In Proceedings of the VLDB Endowment (PVLDB). 2011.
University of Salzburg
Labs. Winter Semester 2016/2017.
Datenbanken 2. Labs. Winter Semester 2016/2017.
Datenbanken 1. Labs. Summer Semester 2015/2016.
Datenbanken Vertiefung. Labs. Winter Semester 2015/2016.
Datenbanken 2. Labs. Winter Semester 2015/2016.
Datenbanken 1. Labs. Summer Semester 2014/2015.
Datenbanken Vertiefung. Labs. Winter Semester 2014/2015.
Datenbanken 2. Labs. Winter Semester 2014/2015.
Free University of Bozen-BolzanoData Warehousing and Data Mining. Labs. Winter Semester 2012/2013.
Data Warehousing and Data Mining. Labs. Winter Semester 2011/2012.