| Analysis of ontology competency questions and their formalizations in SPARQL-OWL D Wi¶niewski, J Potoniec, A Ławrynowicz, CM Keet Journal of Web Semantics 59, 100534, 2019 | 79 | 2019 |
| Dataset of ontology competency questions to SPARQL-OWL queries translations J Potoniec, D Wi¶niewski, A Ławrynowicz, CM Keet Data in brief 29, 105098, 2020 | 39 | 2020 |
| Pattern based feature construction in semantic data mining A Ławrynowicz, J Potoniec International Journal on Semantic Web and Information Systems (IJSWIS) 10 (1 …, 2014 | 38 | 2014 |
| 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 | 22 | 2018 |
| Rmonto: ontological extension to rapidminer J Potoniec, A Lawrynowicz 10th International Semantic Web Conference 111, 2011 | 22 | 2011 |
| 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 | 20 | 2011 |
| Competency questions and SPARQL-OWL queries dataset and analysis D Wisniewski, J Potoniec, A Lawrynowicz, CM Keet arXiv preprint arXiv:1811.09529, 2018 | 15 | 2018 |
| 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 | 15 | 2017 |
| BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates D Wi¶niewski, J Potoniec, A Ławrynowicz arXiv preprint arXiv:2105.09574, 2021 | 7 | 2021 |
| Mining cardinality restrictions in OWL J Potoniec Foundations of Computing and Decision Sciences 45 (3), 195-216, 2020 | 6 | 2020 |
| Learning SPARQL queries from expected results J Potoniec Computing and Informatics 38 (3), 679–700-679–700, 2019 | 6 | 2019 |
| 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 | 6 | 2015 |
| 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 | 6 | 2011 |
| An On-Line Learning to Query System. J Potoniec ISWC (Posters & Demos), 2016 | 5 | 2016 |
| 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 | 4 | 2022 |
| Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter M Hercog, P Jaroński, J Kolanowski, P Mieczyński, D Wi¶niewski, ... International Conference on Big Data Analytics and Knowledge Discovery, 46-52, 2022 | 4 | 2022 |
| ReqTagger: A rule-based tagger for automatic Glossary of Terms extraction from ontology requirements D Wi¶niewski, J Potoniec, A Ławrynowicz Foundations of Computing and Decision Sciences 47 (1), 65-86, 2022 | 4 | 2022 |
| Learning OWL 2 Property Characteristics as an Explanation for an RNN J Potoniec Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 | 4 | 2020 |
| Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement J Potoniec, S Rudolph, A Lawrynowicz ISWC 2014 Posters & Demonstrations Track, 229-232, 2014 | 4 | 2014 |
| Reason-able embeddings: Learning concept embeddings with a transferable neural reasoner DM Adamski, J Potoniec Semantic Web, 1-33, 2023 | 3 | 2023 |
