Petar Ristoski

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Anna Lisa GentileIBM Research, Almaden CAVerified email at ibm.com
Daniel GruhlMIT, IBMVerified email at us.ibm.com
Alfredo albaIBM Almaden Reserach centerVerified email at us.ibm.com
Christian BizerProfessor of Information Systems, University of Mannheim, GermanyVerified email at informatik.uni-mannheim.de
Dominique RitzeUniversity of MannheimVerified email at informatik.uni-mannheim.de
Simone Paolo PonzettoProfessor of Information Systems, University of MannheimVerified email at uni-mannheim.de
Oliver LehmbergUniversität MannheimVerified email at informatik.uni-mannheim.de
JESSICA ROSATIUniversità di Camerino, Politecnico di Bari, Università degli Studi di Milano BicoccaVerified email at unicam.it
Tommaso Di NoiaFull Professor, Polytechnic University of BariVerified email at poliba.it
Dimitar TrajanovProf.@ Ss. Cyril and Methodius University in Skopje & Visiting Research Prof.@ Boston University, USVerified email at finki.ukim.mk
Vladimir ZdraveskiFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University in SkopjeVerified email at finki.ukim.mk
Peter MikaYahoo! ResearchVerified email at yahoo-inc.com
Dr. Robert MeuselTelekom Deutschland GmbH, Customer Experience & DataVerified email at dwslab.de
Gerben de VriesApplied Scientist at Wizenoze.comVerified email at wizenoze.com
Milos JovanovikFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University - SkopjeVerified email at finki.ukim.mk
Misael MongiovìISTC CNRVerified email at istc.cnr.it
Aldo GangemiUniversity of Bologna and ISTC, National Research Council, ItalyVerified email at unibo.it
Loza Mencía, EneldoKnowledge Engineering Group, TU DarmstadtVerified email at eneldo.net
Riste StojanovAssociate Professor, Faculty of Computer Science and Engineering, Ss. Cyril and Methodius UniversityVerified email at finki.ukim.mk
Sonja FiliposkaFaculty of Computer Science and Engineering, Ss. Cyril and Methodius University - SkopjeVerified email at finki.ukim.mk

Petar Ristoski

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Semantic Web Data Mining Machine Learning


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Rdf2vec: Rdf graph embeddings for data mining P Ristoski, H Paulheim International semantic web conference, 498-514, 2016	592	2016
Semantic Web in data mining and knowledge discovery: A comprehensive survey P Ristoski, H Paulheim Journal of Web Semantics 36, 1-22, 2016	434	2016
RDF2Vec: RDF graph embeddings and their applications P Ristoski, J Rosati, T Di Noia, R De Leone, H Paulheim Semantic Web 10 (4), 721-752, 2019	233	2019
I See a Car Crash: Real-time Detection of Small Scale Incidents in Microblogs A Schulz, P Ristoski, H Paulheim	181*
Mining the Web of Linked Data with RapidMiner P Ristoski, C Bizer, H Paulheim Web Semantics: Science, Services and Agents on the World Wide Web 35, 142-151, 2015	154	2015
A collection of benchmark datasets for systematic evaluations of machine learning on the semantic web P Ristoski, GKD De Vries, H Paulheim The Semantic Web–ISWC 2016: 15th International Semantic Web Conference, Kobe …, 2016	120	2016
Global RDF vector space embeddings M Cochez, P Ristoski, SP Ponzetto, H Paulheim The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017	112	2017
The mannheim search join engine O Lehmberg, D Ritze, P Ristoski, R Meusel, H Paulheim, C Bizer Journal of Web Semantics 35, 159-166, 2015	105	2015
A machine learning approach for product matching and categorization P Ristoski, P Petrovski, P Mika, H Paulheim Semantic web 9 (5), 707-728, 2018	89	2018
Biased graph walks for RDF graph embeddings M Cochez, P Ristoski, SP Ponzetto, H Paulheim Proceedings of the 7th International Conference on Web Intelligence, Mining …, 2017	76	2017
Feature selection in hierarchical feature spaces P Ristoski, H Paulheim Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014	66	2014
A hybrid multi-strategy recommender system using linked open data P Ristoski, E Loza Mencía, H Paulheim Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014, Anissaras …, 2014	65	2014
A comparison of propositionalization strategies for creating features from linked open data P Ristoski, H Paulheim Linked Data for Knowledge Discovery 6, 2014	58	2014
Entity matching on web tables: a table embeddings approach for blocking AL Gentile, P Ristoski, S Eckel, D Ritze, H Paulheim OpenProceedings, 2017	49	2017
Data mining with background knowledge from the web H Paulheim, P Ristoski, E Mitichkin, C Bizer RapidMiner World, 1-14, 2014	35	2014
Large-scale taxonomy induction using entity and word embeddings P Ristoski, S Faralli, SP Ponzetto, H Paulheim Proceedings of the International Conference on Web Intelligence, 81-87, 2017	33	2017
RDF graph embeddings for content-based recommender systems J Rosati, P Ristoski, T Di Noia, R Leone, H Paulheim CEUR workshop proceedings 1673, 23-30, 2016	33	2016
Large-scale relation extraction from web documents and knowledge graphs with human-in-the-loop P Ristoski, AL Gentile, A Alba, D Gruhl, S Welch Journal of Web Semantics 60, 100546, 2020	32	2020
GEval: a modular and extensible evaluation framework for graph embedding techniques MA Pellegrino, A Altabba, M Garofalo, P Ristoski, M Cochez The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020	27	2020
Exploiting semantic web knowledge graphs in data mining P Ristoski IOS Press, 2019	25	2019

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