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Pregled bibliografske jedinice broj: 928425

Towards Inheritance in Graph Databases

Rabuzin, Kornelije; Šestak, Martina
Towards Inheritance in Graph Databases // Proceedings of 2018 International Conference on Information Management and Processing
London, Ujedinjeno Kraljevstvo: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 115-119 doi:10.1109/ICIMP1.2018.8325851 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 928425 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Towards Inheritance in Graph Databases

Autori
Rabuzin, Kornelije ; Šestak, Martina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 2018 International Conference on Information Management and Processing / - : Institute of Electrical and Electronics Engineers (IEEE), 2018, 115-119

Skup
International Conference on Information Management and Processing

Mjesto i datum
London, Ujedinjeno Kraljevstvo, 12.01.2018. - 14.01.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Projekti:
G498

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Martina Šestak (autor)

Avatar Url Kornelije Rabuzin (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Rabuzin, Kornelije; Šestak, Martina
Towards Inheritance in Graph Databases // Proceedings of 2018 International Conference on Information Management and Processing
London, Ujedinjeno Kraljevstvo: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 115-119 doi:10.1109/ICIMP1.2018.8325851 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Rabuzin, K. & Šestak, M. (2018) Towards Inheritance in Graph Databases. U: Proceedings of 2018 International Conference on Information Management and Processing doi:10.1109/ICIMP1.2018.8325851.
@article{article, author = {Rabuzin, Kornelije and \v{S}estak, Martina}, year = {2018}, pages = {115-119}, DOI = {10.1109/ICIMP1.2018.8325851}, keywords = {object-oriented paradigm, instantiation, inheritance, graph databases, Neo4j, nodes, gremlin by example}, doi = {10.1109/ICIMP1.2018.8325851}, title = {Towards Inheritance in Graph Databases}, keyword = {object-oriented paradigm, instantiation, inheritance, graph databases, Neo4j, nodes, gremlin by example}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {London, Ujedinjeno Kraljevstvo} }
@article{article, author = {Rabuzin, Kornelije and \v{S}estak, Martina}, year = {2018}, pages = {115-119}, DOI = {10.1109/ICIMP1.2018.8325851}, keywords = {object-oriented paradigm, instantiation, inheritance, graph databases, Neo4j, nodes, gremlin by example}, doi = {10.1109/ICIMP1.2018.8325851}, title = {Towards Inheritance in Graph Databases}, keyword = {object-oriented paradigm, instantiation, inheritance, graph databases, Neo4j, nodes, gremlin by example}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {London, Ujedinjeno Kraljevstvo} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus

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