ACPT Transforming RDF Data into Property Graphs

Authors

Keywords:

RDF, RDF SChema, Property Graph

Abstract

RDF databases and graph databases are two approaches of data management which are based on modeling, storing and querying data following a graph structure. RDF databases are based on a single graph data model which allows to describe Web resources in terms of their relations and attributes. On the other hand, most graph databases are based on the property graph data model, a type of graph where nodes and edges can contain properties represented as key-value pairs. This paper presents two methods for transforming RDF data into property graphs. The first method defines schema and data transformations as it assumes the existence of an RDF schema. The second method is schema-independent, so it allows to transform any kind of RDF dataset. Both methods are useful to store RDF data into a Graph Data Management System.

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Author Biography

Renzo Angles Rojas, Universidad de Talca

Renzo Angles received a degree of Bachelor in Systems Engineering from Universidad Católica de Santa María (Arequipa, Perú), and a Ph.D. degree in Computer Science from Universidad de Chile. Since 2010, he is assistant professor in the Computer Science Department at the Universidad de Talca (Chile).
During 2013, he carried out postdoctoral research at the Department of Computer Science, VU University Amsterdam, as part of his participation in the Linked Data Benchmark Council Project. His research interests lies in the intersection of graph databases and the Semantic Web. Specifically, he is currently working on the theory and design of graph query languages, and benchmarking of graph/RDF databases.

Published

2020-03-03

How to Cite

Angles Rojas, R., & García, R. (2020). ACPT Transforming RDF Data into Property Graphs. IEEE Latin America Transactions, 18(1), 130–137. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/481