TY - GEN
T1 - NoSQL databases for RDF
T2 - 12th International Semantic Web Conference, ISWC 2013
AU - Cudré-Mauroux, Philippe
AU - Enchev, Iliya
AU - Fundatureanu, Sever
AU - Groth, Paul
AU - Haque, Albert
AU - Harth, Andreas
AU - Keppmann, Felix Leif
AU - Miranker, Daniel
AU - Sequeda, Juan F.
AU - Wylot, Marcin
PY - 2013
Y1 - 2013
N2 - Processing large volumes of RDF data requires sophisticated tools. In recent years, much effort was spent on optimizing native RDF stores and on repurposing relational query engines for large-scale RDF processing. Concurrently, a number of new data management systems-regrouped under the NoSQL (for "not only SQL") umbrella-rapidly rose to prominence and represent today a popular alternative to classical databases. Though NoSQL systems are increasingly used to manage RDF data, it is still difficult to grasp their key advantages and drawbacks in this context. This work is, to the best of our knowledge, the first systematic attempt at characterizing and comparing NoSQL stores for RDF processing. In the following, we describe four different NoSQL stores and compare their key characteristics when running standard RDF benchmarks on a popular cloud infrastructure using both single-machine and distributed deployments.
AB - Processing large volumes of RDF data requires sophisticated tools. In recent years, much effort was spent on optimizing native RDF stores and on repurposing relational query engines for large-scale RDF processing. Concurrently, a number of new data management systems-regrouped under the NoSQL (for "not only SQL") umbrella-rapidly rose to prominence and represent today a popular alternative to classical databases. Though NoSQL systems are increasingly used to manage RDF data, it is still difficult to grasp their key advantages and drawbacks in this context. This work is, to the best of our knowledge, the first systematic attempt at characterizing and comparing NoSQL stores for RDF processing. In the following, we describe four different NoSQL stores and compare their key characteristics when running standard RDF benchmarks on a popular cloud infrastructure using both single-machine and distributed deployments.
UR - http://www.scopus.com/inward/record.url?scp=84891920902&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41338-4_20
DO - 10.1007/978-3-642-41338-4_20
M3 - Contribución a la conferencia
AN - SCOPUS:84891920902
SN - 9783642413377
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 310
EP - 325
BT - The Semantic Web, ISWC 2013 - 12th International Semantic Web Conference, Proceedings
Y2 - 21 October 2013 through 25 October 2013
ER -