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SPARQLing Neo4J (Short Paper)

Authors: Ezequiel José Veloso Ferreira Moreira and José Carlos Ramalho

Published in: OASIcs, Volume 83, 9th Symposium on Languages, Applications and Technologies (SLATE 2020)


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.

Cite as

Ezequiel José Veloso Ferreira Moreira and José Carlos Ramalho. SPARQLing Neo4J (Short Paper). In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 17:1-17:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{moreira_et_al:OASIcs.SLATE.2020.17,
  author =	{Moreira, Ezequiel Jos\'{e} Veloso Ferreira and Ramalho, Jos\'{e} Carlos},
  title =	{{SPARQLing Neo4J}},
  booktitle =	{9th Symposium on Languages, Applications and Technologies (SLATE 2020)},
  pages =	{17:1--17:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-165-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{83},
  editor =	{Sim\~{o}es, Alberto and Henriques, Pedro Rangel and Queir\'{o}s, Ricardo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2020.17},
  URN =		{urn:nbn:de:0030-drops-130301},
  doi =		{10.4230/OASIcs.SLATE.2020.17},
  annote =	{Keywords: SPARQL, CYPHER, Graph Databases, RDF, OWL, Neo4J, GraphDB}
}
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