E-mail: marcin.pietranik@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Science and Systems Engineering

Unit: Faculty of Information and Communication Technology (N) » Department of Applied Informatics

Wybrzeże Wyspiańskiego 27, 50-370 Wrocław
building A-1, room 203 G
phone +48 71 320 3258

Office hours

• Monday 15.00-17.00
• Thursday 14.00–16.00

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Research fields

• knowledge integration; ontologies and ontology alignment; consensus theory; collective intelligence; web technologies.

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Recent papers

2017

• Kozierkiewicz-Hetmańska A., Pietranik M.M., The knowledge increase estimation framework for ontology integration on the concept level. Journal of Intelligent & Fuzzy Systems. 2017, vol. 32, nr 2, s. 1161-1172.
• Kozierkiewicz-Hetmańska A., Pietranik M.M., The knowledge increase estimation framework for ontology integration on the relation level. W: Computational Collective Intelligence : 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017 : proceedings. Pt. 1 / Ngoc Thanh Nguyen [i 5 in.] (Eds.). Cham : Springer, cop. 2017. s. 44-53. (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 10448)
• Kozierkiewicz-Hetmańska A., Pietranik M.M., Hnatkowska B., Knowledge increase estimation framework for ontology integration on the instance level. W: Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1 / Nguyen Ngoc Thanh [i in.] (Eds.). Cham : Springer, cop. 2017. s. 3-12. (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 10191)

2016

• Orłowski C., Kapłański P., Nguyen N.T., Pietranik M.M., The use of an ontotrigger for designing the ontology of a model maturity capsule. International Journal of Software Engineering and Knowledge Engineering. 2016, vol. 26, nr 5, s. 715-731.

2014

• Pietranik M.M., Nguyen N.T., A multi-attribute based framework for ontology aligning. Neurocomputing. 2014, vol. 146, s. 276-290.

Papers in DONA database

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Selected publications
1	Article 2025 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Formal transformation of OWL ontology to a FOKI generic meta-model. Computer Science and Information Systems. 2025, s. 1-28. ISSN: 1820-0214 Resources:DOI
2	Proceeding paper 2024 Karol J Kiciński, Marcin Pietranik, Adrianna Kozierkiewicz, A new method of detecting Alzheimer’s disease. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part II / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 305-318. ISBN: 978-3-031-70818-3; 978-3-031-70819-0 Resources:DOIURLSFX
3	Proceeding paper 2024 Bartosz Brejna, Marcin Pietranik, Adrianna Kozierkiewicz, The new K-Means initialization method. W: Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings : part I / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 372-381. ISBN: 978-3-031-70815-2; 978-3-031-70816-9 Resources:DOIURLSFX
4	Monograph 2024 Marcin Pietranik, Formal methods for managing and processing ontology alignments. Boca Raton: CRC Press/Taylor & Francis Group, cop. 2024. 209 s. ISBN: 978-1-003-43788-8 Resources:DOIURL
5	Proceeding paper 2024 Adrianna Kozierkiewicz, Marcin Pietranik, Aleksandra Stawarz, Ensemble learning approach to fake news detection problem. W: Emerging Challenges in Intelligent Management Information Systems : Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 : workshop / eds. Marcin Hernes, Jarosław Wątróbski. Cham : Springer, cop. 2024. s. 15-26. ISBN: 978-3-031-66760-2; 978-3-031-66761-9 Resources:DOIURLSFX
6	Proceeding paper 2023 Patient Zihisire Muke, Adrianna Kozierkiewicz, Marcin Pietranik, Investigation and prediction of cognitive load during memory and arithmetic tasks. W: Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2023. s. 832-845. ISBN: 978-3-031-41455-8; 978-3-031-41456-5 Resources:DOISFX
7	Proceeding paper 2023 Adrianna Kozierkiewicz, Marcin Pietranik, Wojciech Jankowiak, Fuzzy logic framework for ontology concepts alignment. W: Intelligent Information and Database Systems 15th Asian Conference, ACIIDS 2023 : Phuket, Thailand, July 24-26, 2023 : Proceedings, Pt. 2 / ed. Ngoc Thanh Nguyen [i in.]. Singapore : Springer, cop. 2023. s. 170-182. ISBN: 978-981-99-5836-8; 978-981-99-5837-5 Resources:DOISFX
8	Proceeding paper 2023 Jose F Ribeiro Bezerra, Marcin Pietranik, Thanh Thuy Nguyen, Adrianna Kozierkiewicz, A new topic modeling method for tweets comparison. W: Computational Collective Intelligence : 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2023. s. 326-336. ISBN: 978-3-031-41455-8; 978-3-031-41456-5 Resources:DOISFX
9	Article 2023 Martin Schieck, Philippe Krajsic, Felix Loos, Abdulbaree Hussein, Bogdan Franczyk, Adrianna Kozierkiewicz, Marcin Pietranik, Comparison of deep learning methods for grapevine growth stage recognition. Computers and Electronics in Agriculture. 2023, vol. 211, art. 107944, s. 1-9. ISSN: 0168-1699; 1872-7107 Resources:DOIURLSFX
10	Article 2023 Marcin Pietranik, Adrianna Kozierkiewicz, Methods of managing the evolution of ontologies and their alignments. Applied Intelligence. 2023, vol. 53, s. 20382-20401. ISSN: 0924-669X; 1573-7497 Resources:DOIURLSFX

All publications