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Article

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Title

Integration of Relational and Graph Databases Functionally

Authors

Year of publication

2019

Published in

Foundations of Computing and Decision Sciences

Journal year: 2019 | Journal volume: vol. 44 | Journal number: no. 4

Article type

scientific article

Publication language

english

Keywords
EN
  • graph database
  • relational database
  • databases integration
  • functional database model
Abstract

EN In today’s multi-model database world there is an effort to integrate databases expressed in different data models. The aim of the article is to show possibilities of integration of relational and graph databases with the help of a functional data model and its formal language – a typed lambda calculus. We suppose the existence of a data schema both for the relational and graph database. In this approach, relations are considered as characteristic functions and property graphs as sets of single-valued and multivalued functions. Then it is possible to express a query over such integrated heterogeneous database by one query expression expressed in a version of the typed lambda calculus. A more user-friendly version of such language could serve as a powerful query tool in practice. We discuss also queries sent to the integrated system and translated into queries in SQL and Cypher - the graph query language for Neo4j.

Pages (from - to)

427 - 441

DOI

10.2478/fcds-2019-0021

URL

https://www.sciendo.com/article/10.2478/fcds-2019-0021

License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Full text of article

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Access level to full text

public

Ministry points / journal

20

Ministry points / journal in years 2017-2021

40

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