PhD Petar Ristoski

IBM Almaden Research Center · San Jose, CA, USA · +1-408-927-2020 · Petar.Ristoski@ibm.com

Petar Ristoski is a Research Staff Member in the Computer Science Department at the IBM Almaden Research Center. As part of his work, he conducts research in Artificial Intelligence with an emphasis on Neural Networks and Semantic Technologies. His research involves discovering fundamental principles and implementing prototype systems that can be used to understand, analyze, and manage human text as well as collaborating with human experts to train more capable Cognitive Systems.

Dr. Petar Ristoski was awarded his PhD degree in Computer Science from the University of Mannheim, Germany, in 2018. He obtained his Bachelor’s equivalent diploma in Electrical Engineering from the Faculty of Electrical Engineering and Information Technologies at the Ss. Cyril and Methody University, Skopje, Macedonia, in 2011, and a Master’s degree in Computer Networks and e-Technologies from the Faculty of Computer Science and Engineering at the Ss. Cyril and Methody University, Skopje, Macedonia, in 2013 in colaboration with SAP Research - Darmstadt, Germany.


PhD Thesis

  Exploiting Semantic Web Knowledge Graphs in Data Mining

University of Mannheim, Germany
15 January 2018

Exploiting Semantic Web Knowledge Graphs in Data Mining

Published in the "Studies on the Semantic Web" bookseries
July 2019

Awards

  Winner of the SemStats challenge at ISWC 13

International Semantic Web Conference 2013, Sydney, Australia
October 2013

  Winner of the Open Track at the Semantic Web Challenge at ISWC 2014

International Semantic Web Conference 2014, Riva Del Garda - Trentino, Italy
October 2014

  Winner of the Big Data Track at the Semantic Web Challenge at ISWC 2014

International Semantic Web Conference 2014, Riva Del Garda - Trentino, Italy
October 2014

  Winner of the Semantic Web Challenge at ISWC 2018

International Semantic Web Conference 2018, Monterey, USA
October 2018

  SWSA Distinguished Dissertation Award

Semantic Web Science Association
August 2019

Publications

International Journals:

  Petar Ristoski, Christian Bizer, Heiko Paulheim: Mining the web of linked data with rapidminer. Web Semantics: Science, Services and Agents on the World Wide Web, Vol 35, pages 142–151, 2015.
  Petar Ristoski, Heiko Paulheim: Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey. Web Semantics: Science, Services and Agents on the World Wide Web, Vol 36, pages 1–22, 2016.
  Petar Ristoski, Jessica Rosati, Tommaso Di Noia, Renato de Leone, Heiko Paulheim: RDF2Vec: RDF Graph Embeddings and Their Applications. The Semantic Web Journal, 2018
  Petar Ristoski, Petar Petrovski, Petar Mika, Heiko Paulheim: A Machine Learning Approach for Product Matching and Categorization. The Semantic Web Journal, 2018
  Mehwish Alam, Diego Reforgiato Recupero, Misael Mongiovi, Aldo Gangemi, Petar Ristoski: Event-Based Knowledge Reconciliation using Frame Embeddings and Frame Similarity. Journal of Knowledge-Based Systems, September, 2017.
  Oliver Lehmberg, Dominique Ritze, Petar Ristoski, Robert Meusel, Heiko Paulheim, Christian Bizer: The mannheim search join engine. Web Semantics: Science, Services and Agents on the World Wide Web, Vol 35, pages 159–1166, 2015.

International Conferences:

  Heiko Paulheim, Petar Ristoski, Evgeny Mitichkin, Christian Bizer: Data mining with background knowledge from the web. Proceedings of the 5th RapidMiner World, Boston, USA, pages 1–14, 2014
  Petar Ristoski, Eneldo Loza Mencía, Heiko Paulheim: A hybrid multi-strategy recommender system using linked open data. Semantic Web Evaluation Challenge, Crete, Greece, May, 2014.
  Petar Ristoski, Heiko Paulheim: Feature selection in hierarchical feature spaces. Proceedings of the 17th International Conference on Discovery Science, Bled, Slovenia, October, 2014.
  Petar Ristoski, Heiko Paulheim: Visual Analysis of Statistical Data on Maps Using Linked Open Data. Revised Selected Papers of the 12th European Semantic Web Conference, Portoroz, Slovenia, May 2015.
  Petar Ristoski: Towards Linked Open Data Enabled Data Mining. Proceedings of the 12th European Semantic Web Conference, Portoroz, Slovenia, May 2015.
  Petar Ristoski, Michael Schuhmacher, Heiko Paulheim: Using Graph Metrics for Linked Open Data Enabled Recommender Systems. Proceedings of the 16th International Conference on Electronic Commerce and Web Technologies, Valencia, Spain, September, 2015.
  Petar Ristoski, Heiko Paulheim: Rdf2Vec: RFG Graph Embeddings for Data Mining. Proceedings of the 15th International Semantic Web Conference, Kobe, Japan, October, 2016
  Petar Ristoski, Gerben Klaas Dirk de Vries, Heiko Paulheim: A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web. Proceedings of the 15th International Semantic Web Conference, Kobe, Japan, October, 2016.
  Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim: Biased Graph Walks for RDF Graph Embeddings. Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, Amantea, Italy, June, 2017.
  Petar Ristoski, Stefano Faralli, Simone Paolo Ponzetto, Heiko Paulheim: Large-scale taxonomy induction using entity and word embeddings. Proceedings of the International Conference on Web Intelligence, pages 81–87, 2017.
  Petar Ristoski, Peter Mika: Enriching Product Ads with Metadata from HTML Annotations. Proceedings of the 13th International Conference on The Semantic Web, Heraklion, Greece, May, 2016.
  Anna Lisa Gentile, Petar Ristoski, Steffen Eckel, Dominique Ritze, Heiko Paulheim: Entity Matching on Web Tables: a Table Embeddings approach for Blocking. Proceedings of the 20th International Conference on Extending Database, March, 2017.
  Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, Heiko Paulheim:: Global RDF Vector Space Embeddings. Proceedings of the 16th International Semantic Web Conference, Vienna, Austria, October, 2017.

International Workshops:

  Petar Ristoski, Heiko Paulheim: Analyzing statistics with background knowledge from linked open data. Proceedings of the 1st International Workshop on Semantic Statistics co-located with 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 11th, 2013.
  Petar Ristoski, Heiko Paulheim: A Comparison of Propositionalization Strategies for Creating Features from Linked Open Data. Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, September 19th, 2014
  Petar Ristoski, Heiko Paulheim, Vojtech Svatek, and Vaclav Zeman: Linked Data Mining Challenge 2015. Proceedings of the 4th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data, Portoroz, Slovenia, May 31, 2015.
  Petar Ristoski, Heiko Paulheim, Vojtech Svatek, and Vaclav Zeman: Linked Data Mining Challenge 2016. Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data, Heraklion, Greece, May 30th, 2016.
  Jessica Rosati, Petar Ristoski, Tommaso Di Noia, Renato de Leone, Heiko Paulheim: RDF graph embeddings for content-based recommender systems. Proceedings of the 3rd Workshop on New Trends in Content-based Recommender Systems, in conjunction with the 10th ACM Conference on Recommender Systems Boston, MA, USA, September 16, 2016.
  Benjamin Schäfer, Petar Ristoski, Heiko Paulheim: What is special about Bethlehem, Pennsylvania?: identifying unexpected facts about DBpedia entities CEUR workshop proceedings, 2015.

  A full list of all my publications can be found on my Google Scholar Account.


curriculum vitae

  Petar Ristoski's Short CV

30 June 2019