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SPARQLing Neo4J

Authors: Moreira, Ezequiel; Ramalho, José Carlos;

SPARQLing Neo4J

Abstract

The growth experienced by the internet in the past few years as lead to an increased amount of available data and knowledge obtained from said data. However most of this knowledge is lost due to the lack of associated semantics making the task of interpreting data very hard to computers. To counter this, ontologies provide a extremely solid way to represent data and automatically derive knowledge from it. In this article we’ll present the work being developed with the aim to store and explore ontologies in Neo4J. In order to achieve this a web frontend was developed, integrating a SPARQL to CYPHER translator to allow users to query stored ontologies using SPARQL. This translator and its code generation is the main subject of this paper.

Related Organizations
Keywords

CYPHER, Graph Databases, GraphDB, SPARQL, Neo4J, RDF, OWL

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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!
0
Average
Average
Average
Green