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Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMiner Use Case

Brandizi, Marco

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Getting the best of Linked Data and Property Graphs: rdf2neo and the KnetMiner Use Case
Autor: Brandizi, Marco
Assuntos: Agricultural Biotechnology not elsewhere classified ; Data Format ; Data Structures ; Database Management ; FOS: Agricultural biotechnology ; FOS: Biological sciences ; FOS: Computer and information sciences ; Plant Biology
Descrição: Graph-based modelling is becoming more popular, in the sciences and elsewhere, as a flexible and powerful way to exploit data to power world-changing digital applications. Com- pared to the initial vision of the Semantic Web, knowledge graphs and graph databases are be- coming a practical and computationally less formal way to manage graph data. On the other hand, linked data based on Semantic Web standards are a complementary, rather than alternative, ap- proach to deal with these data, since they still provide a common way to represent and exchange information. In this paper we introduce rdf2neo, a tool to populate Neo4j databases starting from RDF data sets, based on a configurable mapping between the two. By employing agrigenomics- related real use cases, we show how such mapping can allow for a hybrid approach to the man- agement of networked knowledge, based on taking advantage of the best of both RDF and prop- erty graphs.
Editor: figshare
Data de criação/publicação: 2018
Idioma: Inglês

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