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Pregled bibliografske jedinice broj: 1197812

Extending Graph Databases with Relational Concepts

Rabuzin, Kornelije; Čubrilo, Mirko; Šestak, Martina
Extending Graph Databases with Relational Concepts // Encyclopedia of Data Science and Machine Learning / Wang, John (ur.).
Montclair: IGI Global, 2022. 27, 11 doi:10.4018/978-1-7998-9220-5

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Naslov
Extending Graph Databases with Relational Concepts

Autori
Rabuzin, Kornelije ; Čubrilo, Mirko ; Šestak, Martina

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Encyclopedia of Data Science and Machine Learning

Urednik/ci
Wang, John

Izdavač
IGI Global

Grad
Montclair

Godina
2022

Raspon stranica

ISBN
1799892204

Ključne riječi
Graph Databases ; Relational Databases ; Gremlin By Example ; Cypher By Example ; Integrity Constraints ; Neo4j ; Triggers ; Inheritance

Sažetak
Today we have to deal with large amounts of data, and for large amounts of interconnected data graph databases represent an excellent choice. However, some concepts that are used in relational databases are still not supported in graph databases, and this could hinder their wider use. In this paper it is demonstrated how relational database concepts have been successfully transferred into graph databases, including integrity constraint support, inheritance, trigger specification, new visual query languages, etc.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Martina Šestak (autor)

Avatar Url Kornelije Rabuzin (autor)

Avatar Url Mirko Čubrilo (autor)

Poveznice na cjeloviti tekst rada:

doi www.igi-global.com

Citiraj ovu publikaciju:

Rabuzin, Kornelije; Čubrilo, Mirko; Šestak, Martina
Extending Graph Databases with Relational Concepts // Encyclopedia of Data Science and Machine Learning / Wang, John (ur.).
Montclair: IGI Global, 2022. 27, 11 doi:10.4018/978-1-7998-9220-5
Rabuzin, K., Čubrilo, M. & Šestak, M. (2022) Extending Graph Databases with Relational Concepts. U: Wang, J. (ur.) Encyclopedia of Data Science and Machine Learning. Montclair, IGI Global, 27, 11 doi:10.4018/978-1-7998-9220-5.
@inbook{inbook, author = {Rabuzin, Kornelije and \v{C}ubrilo, Mirko and \v{S}estak, Martina}, editor = {Wang, J.}, year = {2022}, pages = {11}, DOI = {10.4018/978-1-7998-9220-5}, chapter = {27}, keywords = {Graph Databases, Relational Databases, Gremlin By Example, Cypher By Example, Integrity Constraints, Neo4j, Triggers, Inheritance}, doi = {10.4018/978-1-7998-9220-5}, isbn = {1799892204}, title = {Extending Graph Databases with Relational Concepts}, keyword = {Graph Databases, Relational Databases, Gremlin By Example, Cypher By Example, Integrity Constraints, Neo4j, Triggers, Inheritance}, publisher = {IGI Global}, publisherplace = {Montclair}, chapternumber = {27} }
@inbook{inbook, author = {Rabuzin, Kornelije and \v{C}ubrilo, Mirko and \v{S}estak, Martina}, editor = {Wang, J.}, year = {2022}, pages = {11}, DOI = {10.4018/978-1-7998-9220-5}, chapter = {27}, keywords = {Graph Databases, Relational Databases, Gremlin By Example, Cypher By Example, Integrity Constraints, Neo4j, Triggers, Inheritance}, doi = {10.4018/978-1-7998-9220-5}, isbn = {1799892204}, title = {Extending Graph Databases with Relational Concepts}, keyword = {Graph Databases, Relational Databases, Gremlin By Example, Cypher By Example, Integrity Constraints, Neo4j, Triggers, Inheritance}, publisher = {IGI Global}, publisherplace = {Montclair}, chapternumber = {27} }

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