Pavel Koupil

According to our database, Pavel Koupil authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MM-evoque: Query Synchronisation in Multi-Model Databases.

Pavel Koupil, Jáchym Bártík, Irena Holubová

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Atlas: A Toolset for Efficient Model-Driven Data Exchange in Data Spaces.

Jakub Klímek, Pavel Koupil, Petr Skoda, Jáchym Bártík, Stepán Stenchlák, Martin Necaský, Irena Holubová

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

MM-quecat: A Tool for Unified Querying of Multi-Model Data.

Pavel Koupil, Daniel Crha, Irena Holubová

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

A universal approach for multi-model schema inference.

Pavel Koupil, Sebastián Hricko, Irena Holubová

J. Big Data, 2022

A unified representation and transformation of multi-model data using category theory.

Pavel Koupil, Irena Holubová

J. Big Data, 2022

Unifying categorical representation of multi-model data.

Pavel Koupil, Irena Holubová

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Schema inference for multi-model data.

Pavel Koupil, Sebastián Hricko, Irena Holubová

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, 2022

Self-Adapting Design and Maintenance of Multi-Model Databases.

Irena Holubová, Pavel Koupil, Jiaheng Lu

Proceedings of the IDEAS'22: International Database Engineered Applications Symposium, Budapest, Hungary, August 22, 2022

A Comparative Analysis of JSON Schema Inference Algorithms.

Ivan Veinhardt Latták, Pavel Koupil

Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, 2022

MM-infer: A Tool for Inference of Multi-Model Schemas.

Pavel Koupil, Sebastián Hricko, Irena Holubová

Proceedings of the 25th International Conference on Extending Database Technology, 2022

<i>MM-evocat: </i> A Tool for Modelling and Evolution Management of Multi-Model Data.

Pavel Koupil, Jáchym Bártík, Irena Holubová

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

MM-cat: A Tool for Modeling and Transformation of Multi-Model Data using Category Theory.

Pavel Koupil, Martin Svoboda, Irena Holubová

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

Categorical Modeling of Multi-model Data: One Model to Rule Them All.

Martin Svoboda, Pavel Contos, Irena Holubová

Proceedings of the Model and Data Engineering - 10th International Conference, 2021

Multi-Model Data Modeling and Representation: State of the Art and Research Challenges.

Irena Holubová, Pavel Contos, Martin Svoboda

Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Categorical Management of Multi-Model Data.

Irena Holubová, Pavel Contos, Martin Svoboda

Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Abstract Model for Multi-model Data.

Pavel Contos

Proceedings of the Database Systems for Advanced Applications, 2021

2020

JSON Schema Inference Approaches.

Pavel Contos, Martin Svoboda

Proceedings of the Advances in Conceptual Modeling, 2020