Experience
Education
Bio
RESEARCH INTERESTS
1. Semantic Web, Linked Open Data, and their applications
2. Machine Learning and Data Mining
3. Schema/Ontology Matching and Data Integration
AWARDS
1. Winner of the Open Track at the Semantic Web Challenge 2014, Riva del Garda, Italy, October 2014.
P. Ristoski, C. Bizer, and H. Paulheim: Mining the Web of Linked Data with RapidMiner.
2. Winner of the Big Data Track at the Semantic Web Challenge 2014, Riva del Garda, Italy, October 2014. O. Lehmberg, D. Ritze, P. Ristoski, K. Eckert, H. Paulheim and C. Bizer: Extending Tables with
Data from over a Million Websites.
3. Best performing approach for task 1 and 3, and best performing approach overall of the Linked Open
Data-enabled Recommender Systems, ESWC 2014, Crete, Greece. P. Ristoski, E. Mencía, H.
Paulheim: A Hybrid Multi-Strategy Recommender System Using Linked Open Data.
4. Winner of the SemStats challenge, ISWC 2014, Sydney, Australia. P. Ristoski, H. Paulheim: Analyzing
Statistics with Background Knowledge from Linked Open Data.
5. Winner of the Semantic Web Challenge at ISWC 2018, Monterey, USA.