Abstract
A multi-model approach to heterogeneous database (DB) integration requires a more user-friendly solution, i.e., a possibility to see various conceptual or data schemas in a unified way. We use a functional approach based on so-called attributes named by short natural language expressions with associated expressions describing their type. Attributes are functions that can be manipulated by a version of typed lambda calculus, which with arithmetic and aggregation functions enables to build a powerful query language. We consider the relational, E-R, JSON, and graph data/conceptual models. A query over such integrated DB can be expressed by a term of the typed lambda calculus. A more user-friendly version of such language can serve as a powerful query tool in practice.
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Pokorný, J. (2023). Data Integration in a Multi-model Environment. In: Delir Haghighi, P., et al. Information Integration and Web Intelligence. iiWAS 2023. Lecture Notes in Computer Science, vol 14416. Springer, Cham. https://doi.org/10.1007/978-3-031-48316-5_14
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DOI: https://doi.org/10.1007/978-3-031-48316-5_14
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