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 2023 Marcin Pietranik, Adrianna Kozierkiewicz, Methods of managing the evolution of ontologies and their alignments. Applied Intelligence. 2023, s. 1-20. ISSN: 0924-669X; 1573-7497 Resources:DOIURL
2	Monographs and other books editing 2022 Edward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, Marek Krótkiewicz, Recent Challenges in Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Cham: Springer, cop. 2022. XXVIII, 765 s. ISBN: 978-981-19-8233-0; 978-981-19-8234-7 (Communications in Computer and Information Science, ISSN 1865-0929; vol. 1716) Resources:DOI
3	Proceeding paper 2022 Adrianna Kozierkiewicz, Marcin Pietranik, Mateusz Olsztyński, Updating the result ontology integration at the concept level in the event of the evolution of their components. W: Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 51-64. ISBN: 978-3-031-16013-4; 978-3-031-16014-1 Resources:DOISFX
4	Proceeding paper 2022 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Hai Bang Truong, Hybrid approach to designating ontology attribute semantics. W: Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 351-363. ISBN: 978-3-031-16013-4; 978-3-031-16014-1 Resources:DOISFX
5	Proceeding paper 2022 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Compatibility checking of compound business rules expressed in natural language against domain specification. W: 2022 IEEE 46th Annual Computers, Software, and Applications Conference, 27 June-1 July 2022 Virtual Event / eds. Hong Va Leong [i in.]. Los Alamitos : IEEE, 2022. s. 944-949. ISBN: 978-1-6654-8810-5 Resources:DOIURL
6	Proceeding paper 2022 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Fuzzy logic framework for ontology instance alignment. W: Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 2 / eds. Derek Groen [i in.]. Cham : Springer, cop. 2022. s. 653-666. ISBN: 978-3-031-08753-0; 978-3-031-08754-7 Resources:DOIURLSFX
7	Proceeding paper 2021 Kateryna Czerniachowska, Krzysztof Lutosławski, Agata Kozina, Karolina Mateńczuk, Aleksandra Markowska, Adrianna Kozierkiewicz, Marcin Pietranik, Ingolf Roemer, Martin Schieck, Shelf space allocation problem with horizontal shelf division. W: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES 2021 / eds. Jaroslaw Watrobski [i in.]. Amsterdam : Elsevier, cop. 2021. s. 1550-1559. Resources:DOIURLSFX
8	Proceeding paper 2021 Karolina Mateńczuk, Agata Kozina, Aleksandra Markowska, Kateryna Czerniachowska, Klaudia Kaczmarczyk, Paweł Golec, Marcin Hernes, Krzysztof Lutosławski, Adrianna Kozierkiewicz, Marcin Pietranik, Artur Rot, Mykola Dyvak, Financial time series forecasting: comparison of traditional and spiking neural networks. W: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES 2021 / eds. Jaroslaw Watrobski [i in.]. Amsterdam : Elsevier, cop. 2021. s. 5023-5029. Resources:DOIURLSFX
9	Proceeding paper 2021 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Hai Bang Truong, Assessing ontology alignments on the level of instances. W: Computational Collective Intelligence : 13th International Conference, ICCCI 2021, Rhodes, Greece, September 29 - October 1, 2021 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2021. s. 42-52. ISBN: 978-3-030-88080-4; 978-3-030-88081-1 Resources:DOISFX
10	Proceeding paper 2021 Bogumiła Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik, Fuzzy based approach to ontology relations aligment. W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), [Luxembourg, July 11-14, 2021 : Virtual Conference. Danvers, MA] : IEEE, cop. 2021. s. 1-7. ISBN: 978-1-6654-4408-8; 978-1-6654-4407-1 Resources:DOI

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