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Petar Ristoski
Petar Ristoski
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Titel
Zitiert von
Zitiert von
Jahr
Rdf2vec: Rdf graph embeddings for data mining
P Ristoski, H Paulheim
International semantic web conference, 498-514, 2016
6202016
Semantic Web in data mining and knowledge discovery: A comprehensive survey
P Ristoski, H Paulheim
Journal of Web Semantics 36, 1-22, 2016
4472016
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
2482019
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
1582015
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
1302016
Global RDF vector space embeddings
M Cochez, P Ristoski, SP Ponzetto, H Paulheim
The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017
1132017
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
1082015
A machine learning approach for product matching and categorization
P Ristoski, P Petrovski, P Mika, H Paulheim
Semantic web 9 (5), 707-728, 2018
912018
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
782017
Feature selection in hierarchical feature spaces
P Ristoski, H Paulheim
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014
682014
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
652014
A comparison of propositionalization strategies for creating features from linked open data
P Ristoski, H Paulheim
Linked Data for Knowledge Discovery 6, 2014
582014
Entity matching on web tables: a table embeddings approach for blocking
AL Gentile, P Ristoski, S Eckel, D Ritze, H Paulheim
OpenProceedings, 2017
502017
Data mining with background knowledge from the web
H Paulheim, P Ristoski, E Mitichkin, C Bizer
RapidMiner World, 1-14, 2014
362014
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
352020
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
342017
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
332016
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
292020
Exploiting semantic web knowledge graphs in data mining
P Ristoski
IOS Press, 2019
272019
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