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1.

0580726 - ÚI 2024 RIV PT eng C - Conference Paper (international conference)
Korel, L. - Behr, A. S. - Kockmann, N. - Holeňa, Martin
Using Paraphrasers to Detect Duplicities in Ontologies.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2. Setubal: SciTePress, 2023 - (Aveiro, D.; Dietz, J.; Poggi, A.; Bernardino, J.), s. 40-49. ISBN 978-989-758-671-2. ISSN 2184-3228.
[KEOD 2023: Conference on Knowledge Engineering and Ontology Development /15./. Rome / hybrid (IT), 13.11.2023-15.11.2023]
Research Infrastructure: ELIXIR CZ III - 90255; e-INFRA CZ II - 90254
Institutional support: RVO:67985807
Keywords : Classifiers * Duplicity Detection * Ontologies * Paraphrasers * Representation Learning * Semantic Similarity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result website:
https://doi.org/10.5220/0012164500003598DOI: https://doi.org/10.5220/0012164500003598
Permanent Link: https://hdl.handle.net/11104/0349480

	File	Download	Size	Commentary	Version	Access
	0580726-aoa.pdf	1	412.7 KB	OA CC BY-NC-ND 4.0	Publisher’s postprint	open-access

2.

0598391 - EKÚ 2025 RIV CZ cze V - Research Report
Münich, Daniel - Smolka, Vladimír
Platy učitelů v roce 2023 a výhled: jízda z kopce.
[Teacher salaries in 2023 and beyond: driving downhill.]
Praha: Národohospodářský ústav AV ČR, v. v. i., 2024. 32 s. Studie IDEA, 4/2024. ISBN 978-80-7344-716-8
Grant - others:AV ČR(CZ) StrategieAV21/22
Program: StrategieAV
Institutional support: RVO:67985998
Keywords : teachers’ salaries * Czech Republic
OECD category: Applied Economics, Econometrics
Result website:
https://idea.cerge-ei.cz/files/IDEA_Studie_04_2024_Platy_ucitelu_0610.pdf
Permanent Link: https://hdl.handle.net/11104/0356060

3.

0512006 - ÚŽFG 2020 RIV GB eng J - Journal Article
Lind, A. L. - Lai, Y. Y. - Mostovoy, Y. - Holloway, A. K. - Iannucci, A. - Mak, A. C. Y. - Fondi, M. - Orlandini, V. - Eckalbar, W. L. - Milan, M. - Rovatsos, Michail - Kichigin, I. G. - Makunin, A. I. - Johnson Pokorná, Martina - Altmanová, Marie - Trifonov, V. A. - Schijlen, E. - Kratochvíl, L. - Fani, R. - Velenský, P. - Řehák, I. - Patarnello, T. - Jessop, T. S. - Hicks, J. W. - Ryder, O. - Mendelson, J. R. - Ciofi, C. - Kwok, P.Y. - Pollard, K. S. - Bruneau, B. G.
Genome of the Komodo dragon reveals adaptations in the cardiovascular and chemosensory systems of monitor lizards.
Nature Ecology & Evolution. Roč. 3, č. 8 (2019), s. 1241-1252. ISSN 2397-334X. E-ISSN 2397-334X
Institutional support: RVO:67985904
Keywords : Komodo dragon * monitor lizards
OECD category: Genetics and heredity (medical genetics to be 3)
Impact factor: 12.543, year: 2019 ; AIS: 5.612, rok: 2019
Method of publishing: Open access
Result website:
https://www.nature.com/articles/s41559-019-0945-8DOI: https://doi.org/10.1038/s41559-019-0945-8
Permanent Link: http://hdl.handle.net/11104/0302229