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Journal Articles
- 2023
[j2]Vojtech Svátek, Ondrej Zamazal, Viet Bach Nguyen, Jirí Ivánek, Ján Kluka, Miroslav Vacura:
Focused categorization power of ontologies: General framework and study on simple existential concept expressions. Semantic Web 14(6): 1209-1253 (2023)- [j1]Viet Bach Nguyen
, Vojtech Svátek:
Pattern-based detection, extraction and analysis of code lists in ontologies and vocabularies. J. Web Semant. 77: 100788 (2023)
Conference and Workshop Papers
- 2022
- [c9]Vojtech Svátek, Anna Nesterova, Viet Bach Nguyen:
Quasi-Equivalent Concept Trade-Off in Ontology Design: Initial Considerations and Analyses. EKAW 2022: 209-216 - [c8]Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop 2022: 21-32 - 2021
- [c7]Viet Bach Nguyen, Vojtech Svátek:
Ontology for Informatics Research Artifacts. ESWC (Satellite Events) 2021: 126-130 - [c6]Viet Bach Nguyen, Vojtech Svátek, Marek Dudás, Óscar Corcho:
Knowledge Engineering of PhD Stories: A Preliminary Study. K-CAP 2021: 281-284 - 2020
- [c5]Viet Bach Nguyen, Vojtech Svátek, Gollam Rabby, Óscar Corcho:
Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping. EKAW 2020: 88-103 - [c4]Jana Vatascinová, Viet Bach Nguyen, Vojtech Svátek, Ondrej Zamazal:
Best-Practice Patterns for Biomedical Ontologies: Moving Under the Meta-Modeling Hood (short paper). ICBO/ODLS 2020: 1-5 - [c3]Martin Skára, Viet Bach Nguyen, Vojtech Svátek:
Reconstructing Custom Fragments of Google Knowledge Graph on the Fly. ISWC (Demos/Industry) 2020: 6-11 - [c2]Viet Bach Nguyen, Vojtech Svátek, Gollam Rabby, Ondrej Zamazal:
OReCaP - Towards Ontology Reuse via Focused Categorization Power. ISWC (Demos/Industry) 2020: 295-300 - 2018
- [c1]Viet Bach Nguyen:
PhD Odyssey - Interweaving PhD Stories into the Semantic Web. EKAW (Doctoral Consortium) 2018
Informal and Other Publications
- 2023
- [i3]Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem:
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR abs/2305.07731 (2023) - 2022
- [i2]Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR abs/2205.14831 (2022) - 2020
- [i1]Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda C. M. Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza-Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, María Granados Buey, Ismail Harrando, Ivan Heibi, Vitor A. C. Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, Weiqin Xu:
Knowledge Graphs Evolution and Preservation - A Technical Report from ISWS 2019. CoRR abs/2012.11936 (2020)
Coauthor Index
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