Seminario "Benchmarking RDF and Graph Databases" (en inglés)

Renzo Angles, Universidad de Talca.
4 Abril, 2014 - 10:00
Auditorio DCC, tercer piso.
Centro de Investigación de la Web Semántica




With inherent support for storing and analyzing highly interconnected data, graph and RDF databases appear as natural solutions for developing linked open data applications. However, current benchmarks for these database technologies do not fully attain the desirable characteristics in industrial-strength benchmarks (e.g. relevance, verifiability, etc.) and typically do not model scenarios characterized by complex queries over skewed and highly correlated data.


The Linked Data Benchmark Council (LDBC) is an EU project that aims the development of industrial-strength benchmarks for graph and RDF databases. The Social Network Benchmark (SNB) is an LDBC benchmark intended to test various functionalities of systems used for graph data management.


The objective of this talk is to present the status of the SNB and to describe the problems concerning its development.


About the speaker:


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 of graph query languages and benchmarking of graph/RDF databases.



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