Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Graph Data Models

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_81-1

Synonyms

Definitions

Following the classic definition of Codd, a data model comprises three basic components: the data structure(s), a transformation and query language, and integrity constraints. Under this conceptualization, a graph data model is characterized as follows:
  • The data (and possibly its schema) is represented by graphs or by generalizations of the concept of a graph (e.g., hypergraphs, hypernodes).

  • The manipulation of data is done by graph transformations or by operations capturing features such as paths, neighborhoods, graph patterns, etc.

  • The integrity constraints enforce the consistency of schemas and graph properties that are relevant to the particular model.

In this entry, we will focus on the data structures part, since query languages for graphs are treated in other entries in this work. Thus we will use the notion “graph data model” for the data structure of a graph data model.

Overview

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References

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversidad de ChileSantiagoChile
  2. 2.Vrije Universiteit BrusselBrusselsBelgium
  3. 3.Birkbeck, University of LondonLondonUK

Section editors and affiliations

  • Hannes Voigt
    • 1
  • George Fletcher
    • 2
  1. 1.Dresden Database Systems GroupTechnische Universität DresdenDresdenGermany
  2. 2.Department of Mathematics and Computer ScienceEindhoven University of Technology