OASIcs.SLATE.2020.17.pdf
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SPARQLing Neo4J (Short Paper)
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José Carlos Ramalho 
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9th Symposium on Languages, Applications and Technologies (SLATE 2020)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-09-16
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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)
https://doi.org/10.4230/OASIcs.SLATE.2020.17
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.
Subject Classification
ACM Subject Classification
- Information systems → Web Ontology Language (OWL)
- Information systems → Ontologies
- Computing methodologies → Ontology engineering
- Information systems → Graph-based database models
Keywords
- SPARQL
- CYPHER
- Graph Databases
- RDF
- OWL
- Neo4J
- GraphDB
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References
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