License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2020.17
URN: urn:nbn:de:0030-drops-130301
Go to the corresponding OASIcs Volume Portal

Moreira, Ezequiel José Veloso Ferreira ; Ramalho, José Carlos

SPARQLing Neo4J (Short Paper)

OASIcs-SLATE-2020-17.pdf (0.3 MB)


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.

BibTeX - Entry

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

Keywords: SPARQL, CYPHER, Graph Databases, RDF, OWL, Neo4J, GraphDB
Collection: 9th Symposium on Languages, Applications and Technologies (SLATE 2020)
Issue Date: 2020
Date of publication: 16.09.2020

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI