Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Gremlin By Example (CROSBI ID 641421)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Rabuzin, Kornelije ; Maleković, Mirko ; Šestak, Martina Gremlin By Example // Proceedings of the 2016 International Conference on Advances in Big Data Analytics / Arabnia, Hamid R., Tinetti, Fernando G., Yang, Mary (ur.). Las Vegas (NV): CSREA Press, 2016. str. 144-149

Podaci o odgovornosti

Rabuzin, Kornelije ; Maleković, Mirko ; Šestak, Martina

engleski

Gremlin By Example

Graph databases, which are presently classified as one of the most interesting database types, are being used on a daily basis. However, different systems are available and different languages are used to operate using graph databases. To summarize, a large number of languages hinders graph databases’ wider use. There also have been attempts to create universal SQL for graph databases in order to make things more standardized and intuitive to use. In this paper, we propose Gremlin By Example. This is a new language for graph databases that resembles Query By Example, which is a query language for relational databases. Because people are familiar with Query By Example, and Gremlin By Example looks almost the same, by using the similar interface people should be able to use graph databases without knowing the details of different graph query languages.

NoSQL ; SQL ; graph databases ; Gremlin

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

144-149.

2016.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 2016 International Conference on Advances in Big Data Analytics

Arabnia, Hamid R., Tinetti, Fernando G., Yang, Mary

Las Vegas (NV): CSREA Press

1-60132-427-8

Podaci o skupu

International Conference on Advances in Big Data Analytics

predavanje

25.07.2016-28.07.2016

Las Vegas (NV), Sjedinjene Američke Države

Povezanost rada

Informacijske i komunikacijske znanosti