Graph-based vs. Document-oriented DB for Self-organisation of Knowledge

Last modified by Stefano Mariani on 27/11/2020 13:08

Graph-based DB and Document-oriented DB are gaining popularity in the NoSQL DB landscape. The former are especially well suited for application domains when relationships among data matter perhaps more than data itself, while the latter are particularly suited for managing textual documents of any kind. In the context of the MoK model for knowledge self-organisation, both approaches have desirable features: relationships do matter, data items are textual.
The aim of the thesis is thus that of benchmarking the most promising solutions in the state of art regarding graph-/document- oriented DB, considering both in-memory and persistent storage aspects, with the goal of assessing which approach could be the best for a technology such as MoK.
Tags: MoK

Thesis Data

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