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Graph-Based Implementation of the M 3 Data Model
Authors: Mertz, Nikolaj; Jónsson, Björn Þór; Duane, Aaron;
Abstract

In this work, we consider metadata-based exploration of media collections using the M3 data model, to support multimedia analytics applications. We propose a new metadata-server implementation based on the Neo4j graph database system, and compare it to the existing, heavily-optimised server based on a relational database system. We show that the graph-based implementation performs well for interactive metadata-space retrieval, albeit not as well as the optimised relational implementation. The graph-based implementation also allows for very efficient updates to the metadata collection, however, which are practically impossible in the optimised relational implementation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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