MM-evoque

Pavel Koupil, and Irena Holubová. 2022. A unified representation and transformation of multi‐model data using category theory J Big Data 9, 61 (2022). Springer Nature, 2022. DOI: 10.1186/s40537-022-00613-3

Pavel Koupil, and Irena Holubová. 2022. Unifying Categorical Representation of Multi-Model Data. In SAC ’22: 37th ACM/SIGAPP Symposium On Applied Computing (SAC 2022), Brno, Czech Republic, April 2022. ACM, 2022 (accepted) DOI: 10.1145/3477314.3507690

Pavel Koupil, Martin Svoboda, and Irena Holubová. 2021. MM-cat: A Tool for Modeling and Transformation of Multi-Model Data using Category Theory. Proceedings of the ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS 2021), Fukuoka, Japan, October 2021. IEEE, 2021. DOI: 10.1109/MODELS-C53483.2021.00098

Irena Holubová, Pavel Čontoš (Koupil), and Martin Svoboda. 2021. Categorical Management of Multi-Model Data. In 25th International Database Engineering & Applications Symposium (IDEAS 2021). Association for Computing Machinery, New York, NY, USA, 134–140. DOI: 10.1145/3472163.3472166

Martin Svoboda, Pavel Čontoš (Koupil), and Irena Holubová. 2021. Categorical Modeling of Multi-Model Data: One Model to Rule Them All. In International Conference on Model and Data Engineering (MEDI 2021), Tallinn, Estonia, June 2021. Lecture Notes in Computer Science, volume 12732, Springer, Cham, 2021. p. 190-198. ISBN 978-3-030-78427-0. DOI: 10.1007/978-3-030-78428-7_15

Pavel Čontoš (Koupil). 2021. Abstract Model for Multi-model Data. In International Conference on Database Systems for Advanced Applications (DASFAA 2021). Lecture Notes in Computer Science, vol 12683. Springer, Cham, 2021. p. 647-651. ISBN 978-3-030-73199-1. DOI: 10.1007/978-3-030-73200-4_53

Basic Information

Demonstration

Authors

Irena Holubová

Pavel Koupil

Jáchym Bártík

Publications