Managing and Querying Historical NoSQL GraphDatabases: The HNTP Criteria

Abstract : Graphs allow to represent many cases from the real world, for instance ontologies, social networking or chemical databases. Graph databases, and especially NoSQL graph databases (e.g., Neo4j) have been designed to deal with such data. This new generation of databases focuses on relations rather than on the objects themselves. NoSQL graph databases provide efficient tools to implement robust solutions against big data. In such databases, managing historical data may be important in order to store and analyze evolutions and to understand how relations within and between graph entities evolve.
Type de document :
Article dans une revue
International Journal of Research in Information Technology, IJRIT, India, 2014, 2 (2), pp.184-196
Liste complète des métadonnées

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01381074
Contributeur : Anne Laurent <>
Soumis le : jeudi 13 octobre 2016 - 23:46:54
Dernière modification le : jeudi 11 janvier 2018 - 06:14:31

Identifiants

  • HAL Id : lirmm-01381074, version 1

Collections

Citation

Arnaud Castelltort, Anne Laurent. Managing and Querying Historical NoSQL GraphDatabases: The HNTP Criteria. International Journal of Research in Information Technology, IJRIT, India, 2014, 2 (2), pp.184-196. 〈lirmm-01381074〉

Partager

Métriques

Consultations de la notice

52