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Data integration in a multi-model environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F23%3A00045626" target="_blank" >RIV/29142890:_____/23:00045626 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-48316-5_14" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-48316-5_14</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-48316-5_14" target="_blank" >10.1007/978-3-031-48316-5_14</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data integration in a multi-model environment

  • Original language description

    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 at-tributes named by short natural language expressions with associated expressions describing their type. Attributes are functions that can be manipulated by a ver-sion 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 ver-sion of such language can serve as a powerful query tool in practice.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Conference proceedings: Information Integration and Web Intelligence

  • ISBN

  • ISSN

    1611-3349

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    121-127

  • Publisher name

    SPRINGER-VERLAG BERLIN

  • Place of publication

  • Event location

    Bali, Indonesia

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article