@article{66b924563bff4a9491ca7e35cec554ac,
  title     = "NoSQL Databases for RDF: An Empirical Evaluation",
  abstract  = "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 {"}

{"_id":"CaY9tJstqPf5R9m6L","bibbaseid":"anonymous-nosqldatabasesforrdfanempiricalevaluation","downloads":0,"creationDate":"2017-10-10T08:05:28.602Z","title":"NoSQL Databases for RDF: An Empirical Evaluation","author_short":null,"year":null,"bibtype":"article","biburl":"https://raw.githubusercontent.com/KRRVU/website/master/publications/krr.bib","bibdata":{"bibtype":"article","type":"article","title":"NoSQL Databases for RDF: An Empirical Evaluation","abstract":"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 ","bibtex":"@article{66b924563bff4a9491ca7e35cec554ac,\n title = \"NoSQL Databases for RDF: An Empirical Evaluation\",\n abstract = \"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 {\"}","key":"66b924563bff4a9491ca7e35cec554ac","id":"66b924563bff4a9491ca7e35cec554ac","bibbaseid":"anonymous-nosqldatabasesforrdfanempiricalevaluation","role":"","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["nosql","databases","rdf","empirical","evaluation"],"keywords":[],"authorIDs":[],"dataSources":["H6xuGqu5uQ6rXhdJ4","dJmTXpbSWWjnxatYT"]}