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Applying Model-Driven Approach for Data Model Unification
| Author(s): | Stupnikov S. A. |
| Published: | Communications in Computer and Information Science: 2nd International Workshop on Modelling to Program, M2P 2020 (Lappeenranta, 11-12 March 2020). – Springer Science and Business Media Deutschland GmbH, 2021. Vol. 1401. P. 212 – 232. |
| Abstract: | |
| A lot of scientific data sources currently are concentrated within data infrastructures supporting the whole cycle of data processing and management. Heterogeneous data are represented using various data models from the relational model to various NoSQL models. That is why data integration issues within data infrastructures become more and more important. This paper is devoted to the implementation of data model unification techniques considered as a formal basis for data interoperability, integration, and reuse within data infrastructures. The implementation applies a model-driven engineering approach, namely, formal methods allowing us to define data model syntax and semantic transformations of one data model to the other. To emphasize the advantages of the model-driven approach MDE-based implementation is compared with previous implementation utilizing metacompilation and term rewriting techniques. |
| Download: |
[ https://link.springer.com/chapter/10.1007/978-3-030-72696-6_11 ]
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