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Marcin Pietranik, PhD
Email: 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
Research fields
- knowledge integration; ontologies and ontology alignment; consensus theory; collective intelligence; web technologies.
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.