Managing and Querying Historical NoSQL GraphDatabases: The HNTP Criteria

Arnaud Castelltort 1 Anne Laurent 1
1 FADO - Fuzziness, Alignments, Data & Ontologies
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
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.
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Journal articles
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01381074
Contributor : Anne Laurent <>
Submitted on : Thursday, October 13, 2016 - 11:46:54 PM
Last modification on : Thursday, March 7, 2019 - 2:17:37 PM

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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⟩

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