E-mail: adrianna.kozierkiewicz@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

• Wednesday 11.00-13.00
• Thursday 15.00-17.00

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Research fields

• knowledge management; collective intelligence; recommendation system; ontologies; data analysis

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Recent papers

2017

• Kozierkiewicz A. 2017, The analysis of expert opinions’ consensus quality, Information Fusion, vol. 34, s. 80
• Kozierkiewicz A., Pietranik M., 2017, The knowledge increase estimation framework for ontology integration on the concept level, Journal of Intelligent and Fuzzy Systems, vol. 32, nr 2, s. 1161-1172.

2014

• Kozierkiewicz A., 2014, The analysis of a susceptibility to the consensus for a few representations of collective knowledge, International Journal of Software Engineering and Knowledge Engineering Vol. 24, No. 5, s. 759-775. DOI: 10.1142/S0218194014500296

2011

• Kozierkiewicz A., 2011, A method for scenario recommendation in intelligent e-learning systems, Cybernetics and Systems, Vol. 42, No. 2
• Kozierkiewicz A., Nguyen, N.T., 2011, A method for learning scenario determination and modification in intelligent tutoring system, International Journal Applied of Mathematics and Computer Science, Vol. 21, No. 1

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	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
3	Proceedings papers editing 2022 Ngoc Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022 : proceedings. Cham: Springer, cop. 2022. XXVII, 853 s. ISBN: 978-3-031-16013-4; 978-3-031-16014-1 (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; 13501) Resources:DOI
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 Adrianna Kozierkiewicz, Cross-level high-utility itemset mining using multi-core processing. 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. 467-479. ISBN: 978-3-030-88080-4; 978-3-030-88081-1 Resources:DOISFX

All publications