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Jędrzej Potoniec
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Analysis of ontology competency questions and their formalizations in SPARQL-OWL
D Wiśniewski, J Potoniec, A Ławrynowicz, CM Keet
Journal of Web Semantics 59, 100534, 2019
852019
Dataset of ontology competency questions to SPARQL-OWL queries translations
J Potoniec, D Wiśniewski, A Ławrynowicz, CM Keet
Data in brief 29, 105098, 2020
422020
Pattern based feature construction in semantic data mining
A Ławrynowicz, J Potoniec
International Journal on Semantic Web and Information Systems (IJSWIS) 10 (1 …, 2014
382014
Discovery of emerging design patterns in ontologies using tree mining
A Ławrynowicz, J Potoniec, M Robaczyk, T Tudorache
Semantic web 9 (4), 517-544, 2018
222018
Rmonto: ontological extension to rapidminer
J Potoniec, A Lawrynowicz
10th International Semantic Web Conference 111, 2011
222011
Fr-ONT: An algorithm for frequent concept mining with formal ontologies
A Ławrynowicz, J Potoniec
International Symposium on Methodologies for Intelligent Systems, 428-437, 2011
202011
Competency questions and SPARQL-OWL queries dataset and analysis
D Wisniewski, J Potoniec, A Lawrynowicz, CM Keet
arXiv preprint arXiv:1811.09529, 2018
152018
Swift linked data miner: Mining OWL 2 EL class expressions directly from online RDF datasets
J Potoniec, P Jakubowski, A Ławrynowicz
Journal of Web Semantics 46, 31-50, 2017
152017
BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates
D Wiśniewski, J Potoniec, A Ławrynowicz
arXiv preprint arXiv:2105.09574, 2021
72021
Mining cardinality restrictions in OWL
J Potoniec
Foundations of Computing and Decision Sciences 45 (3), 195-216, 2020
62020
Learning SPARQL queries from expected results
J Potoniec
Computing and Informatics 38 (3), 679–700-679–700, 2019
62019
Combining ontology class expression generation with mathematical modeling for ontology learning
J Potoniec, A Ławrynowicz
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
62015
Asparagus-a system for automatic sparql query results aggregation using semantics
A Ławrynowicz, J Potoniec, Ł Konieczny, M Madziar, A Nowak, KT Pawlak
Computational Collective Intelligence. Technologies and Applications: Third …, 2011
62011
Continuous discovery of Causal nets for non-stationary business processes using the Online Miner
J Potoniec, D Sroka, TP Pawlak
European Journal of Operational Research 303 (3), 1304-1320, 2022
52022
An On-Line Learning to Query System.
J Potoniec
ISWC (Posters & Demos), 2016
52016
Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter
M Hercog, P Jaroński, J Kolanowski, P Mieczyński, D Wiśniewski, ...
International Conference on Big Data Analytics and Knowledge Discovery, 46-52, 2022
42022
ReqTagger: A rule-based tagger for automatic Glossary of Terms extraction from ontology requirements
D Wiśniewski, J Potoniec, A Ławrynowicz
Foundations of Computing and Decision Sciences 47 (1), 65-86, 2022
42022
Learning OWL 2 Property Characteristics as an Explanation for an RNN
J Potoniec
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020
42020
Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement
J Potoniec, S Rudolph, A Lawrynowicz
ISWC 2014 Posters & Demonstrations Track, 229-232, 2014
42014
Reason-able embeddings: Learning concept embeddings with a transferable neural reasoner
DM Adamski, J Potoniec
Semantic Web 15 (4), 1333-1365, 2024
32024
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