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https://doi.org/10.1109/icimp1...
Article . 2018 . Peer-reviewed
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Towards inheritance in graph databases

Authors: Šestak, Martina; Rabuzin, Kornelije;

Towards inheritance in graph databases

Abstract

Object-oriented database management systems represent a technology in which the concepts of the object-oriented programming paradigm are implemented in databases. The impedance mismatch problem between different technologies (e.g., relational and object-oriented) has represented a challenge for developers and researchers for many years now. With the growing popularity of graph databases, it is important to resolve differences between the concepts of graph theory (used in graph databases) and the object-oriented paradigm. In this paper, we propose an approach for representing graph nodes as objects, and introduce the concept of node inheritance in graph databases, which we demonstrate on a simple showcase.

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Keywords

object-oriented paradigm, object-oriented paradigm ; instantiation ; inheritance ; graph databases ; Neo4j ; nodes ; gremlin by example, graph databases, instantiation, inheritance, nodes, gremlin by example, Neo4j

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green