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Multi-Model Data Management

Research at Charles University

The general focus of our research forms the problem of efficient management of multi-mode data. The combination of data with different models and formats with naturally contradictory features brings many challenges to all related aspects. In particular, we focus on the problem of unified modelling and representation of multi-model data and management of its evolution. The latter aspect influences the data structures, instances, operation, storage strategies, etc. We propose solutions with a formal background ensuring particular features and efficiency but still easily understandable and thus applicable in real-world use cases.

We have proposed the core idea for a unified multi-model representation based on the category theory. However, since we use the theory intuitively, the unifying categorical representation can be simplified to an intuitive graph representation. Around this idea, we have already built approaches to schema inference of multi-model data and propagation of user-specified changes.

Research area

  • conceptual modelling of multi-model data
  • evolution management of multi-model data
  • multi-model schema inference
  • multi-model querying

Team leader & members

  • doc. RNDr. Irena Holubová, Ph.D.
  • Ing. Pavel Koupil, Ph.D.
  • Mgr. Jáchym Bártík

Publications

  • Koupil, P. – Holubova, I.: A Unified Representation and Transformation of Multi-Model Data Using Category Theory. Journal of Big Data, volume 9, number 1. Springer Open, May 2022. ISSN 2196-1115.
  • Koupil, P. – Hricko, S. – Holubova, I.: A Universal Approach for Multi-Model Schema Inference. Journal of Big Data, volume 9, number 97. Springer Open, August 2022. ISSN 2196-1115.
  • Koupil, P. – Bartik, J. – Holubova, I.: MM-evocat: A Tool for Modelling and Evolution Management of Multi-Model Data. CIKM ’22: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, Atlanta, Georgia, USA, October 2022. ACM Press, 2022. (Accepted)

Contact

Charles University
Faculty of Mathematics and Physics
doc. RNDr. Irena Holubová, Ph.D.
E: irena.holubova@matfyz.cuni.cz

More information

https://www.ksi.mff.cuni.cz

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Univerzita Karlova v Praze