A multi-attribute based framework for ontology aligning M Pietranik, NT Nguyen Neurocomputing 146, 276-290, 2014 | 32 | 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 |
A method for ontology alignment based on semantics of attributes M Pietranik, NT Nguyen Cybernetics and Systems 43 (4), 319-339, 2012 | 12 | 2012 |
Semantic Distance Measure between Ontology Concept’s Attributes M Pietranik, NT Nguyen International Conference on Knowledge-Based and Intelligent Information and …, 2011 | 12 | 2011 |
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 | 7 | 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 |
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 |
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 |
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 | 4 | 2015 |
Semi-Automatic Definition of Attribute Semantics for the Purpose of Ontology Integration B Hnatkowska, A Kozierkiewicz, M Pietranik IEEE Access 8, 107272-107284, 2020 | 3 | 2020 |
The data richness estimation framework for federated data warehouse integration R Kern, A Kozierkiewicz, M Pietranik Information Sciences 513, 397-411, 2020 | 3 | 2020 |
A formal framework for the ontology evolution A Kozierkiewicz, M Pietranik Asian Conference on Intelligent Information and Database Systems, 16-27, 2019 | 3 | 2019 |
Data evolution method in the procedure of user authentication using keystroke dynamics A Kozierkiewicz-Hetmanska, A Marciniak, M Pietranik International Conference on Computational Collective Intelligence, 379-387, 2016 | 3 | 2016 |
Ontology relation alignment based on attribute semantics MM Pietranik, NT Nguyen International Conference on Computational Collective Intelligence, 49-58, 2012 | 3 | 2012 |
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 | 2 | 2020 |
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 | 2 | 2019 |
Personalisation of learning process in intelligent tutoring systems using behavioural measures P Chynał, A Kozierkiewicz-Hetmańska, M Pietranik Multimedia and Network Information Systems, 407-417, 2017 | 2 | 2017 |
A Multi-attribute and Logic-Based Framework of Ontology Alignment M Pietranik, NT Nguyen Multimedia and Internet Systems: Theory and Practice, 99-108, 2013 | 2 | 2013 |
A Distance Function for Ontology Concepts Using Extension of Attributes’ Semantics M Pietranik, NT Nguyen International Conference on Computational Collective Intelligence, 623-632, 2011 | 2 | 2011 |