| A multi-attribute based framework for ontology aligning M Pietranik, NT Nguyen Neurocomputing 146, 276-290, 2014 | 36 | 2014 |
| The knowledge increase estimation framework for ontology integration on the concept level A Kozierkiewicz-Hetmańska, M Pietranik Journal of Intelligent & Fuzzy Systems 32 (2), 1161-1172, 2017 | 17 | 2017 |
| Semantic distance measure between ontology concept’s attributes M Pietranik, NT Nguyen International Conference on Knowledge-Based and Intelligent Information and …, 2011 | 15 | 2011 |
| Deep learning for grape variety recognition B Franczyk, M Hernes, A Kozierkiewicz, A Kozina, M Pietranik, I Roemer, ... Procedia Computer Science 176, 1211-1220, 2020 | 14 | 2020 |
| A method for ontology alignment based on semantics of attributes M Pietranik, NT Nguyen Cybernetics and Systems 43 (4), 319-339, 2012 | 12 | 2012 |
| Semi-automatic definition of attribute semantics for the purpose of ontology integration B Hnatkowska, A Kozierkiewicz, M Pietranik IEEE Access 8, 107272-107284, 2020 | 8 | 2020 |
| The knowledge increase estimation framework for ontology integration on the instance level A Kozierkiewicz-Hetmańska, M Pietranik, B Hnatkowska Asian Conference on Intelligent Information and Database Systems, 3-12, 2017 | 8 | 2017 |
| Assessing the quality of a consensus determined using a multi-level approach A Kozierkiewicz-Hetmańska, M Pietranik 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 6 | 2017 |
| Framework for ontology evolution based on a multi-attribute alignment method M Pietranik, NT Nguyen 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 108-112, 2015 | 6 | 2015 |
| The data richness estimation framework for federated data warehouse integration R Kern, A Kozierkiewicz, M Pietranik Information Sciences 513, 397-411, 2020 | 5 | 2020 |
| Attribute mapping as a foundation of ontology alignment M Pietranik, NT Nguyen Asian Conference on Intelligent Information and Database Systems, 455-465, 2011 | 5 | 2011 |
| Towards the pattern-based transformation of SBVR models to association-oriented models M Jodłowiec, M Pietranik International Conference on Computational Collective Intelligence, 79-90, 2019 | 4 | 2019 |
| A formal framework for the ontology evolution A Kozierkiewicz, M Pietranik Asian Conference on Intelligent Information and Database Systems, 16-27, 2019 | 4 | 2019 |
| The knowledge increase estimation framework for integration of ontology instances’ relations A Kozierkiewicz, M Pietranik International Baltic Conference on Databases and Information Systems, 172-186, 2018 | 4 | 2018 |
| The knowledge increase estimation framework for ontology integration on the relation level A Kozierkiewicz-Hetmańska, M Pietranik International Conference on Computational Collective Intelligence, 44-53, 2017 | 4 | 2017 |
| Assessing ontology mappings on a level of concepts and instances M Pietranik, A Kozierkiewicz, M Wesołowski IEEE Access 8, 174845-174859, 2020 | 3 | 2020 |
| Ontology relation alignment based on attribute semantics MM Pietranik, NT Nguyen International Conference on Computational Collective Intelligence, 49-58, 2012 | 3 | 2012 |
| Fuzzy based approach to ontology relations alignment B Hnatkowska, A Kozierkiewicz, M Pietranik 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2021 | 2 | 2021 |
| Updating Ontology Alignment on the Relation Level based on Ontology Evolution. A Kozierkiewicz, M Pietranik ENASE, 241-248, 2020 | 2 | 2020 |
| Triggering ontology alignment revalidation based on the degree of change significance on the ontology concept level A Kozierkiewicz, M Pietranik International Conference on Business Information Systems, 137-148, 2019 | 2 | 2019 |
Adrianna KozierkiewiczWrocław University of TechnologyZweryfikowany adres z pwr.wroc.pl
