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RDF Query Answering Using Apache Spark: Review and Assessment
2018
2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)
The explosion of the web and the abundance of linked data demand for effective and efficient methods for storage, management and querying. More specifically, the everincreasing size and number of RDF data collections raises the need for efficient query answering, and dictates the usage of distributed data management systems for effectively partitioning and querying them. To this direction, Apache Spark is one of the most active big-data approaches, with more and more systems adopting it, for
doi:10.1109/icdew.2018.00016
dblp:conf/icde/AgathangelosTKS18
fatcat:ji7puutbmfbaln667f5nvz3uzq