RDF partitioning for scalable SPARQL query processing

Author:

Wang Xiaoyan,Yang Tao,Chen Jinchuan,He Long,Du Xiaoyong

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference21 articles.

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2. Husain M, McGlothlin J, Masud M, Khan L, Thuraisingham B. Heuristics based query processing for large RDF graphs using cloud computing. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(9): 1312–1327

3. Myung J, Yeon J, Lee S. Sparql basic graph pattern processing with iterative mapreduce. In: Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud. 2010, 1–6

4. Agrawal S, Narasayya V, Yang B. Integrating vertical and horizontal partitioning into automated physical database design. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. 2004, 359–370

5. Pavlo A, Curino V, Zdonik S. Skew-aware automatic database partitioning in shared-nothing parallel OLTP systems. In: Proceedings of the ACM SIGMOD International Conference on management of Data. 2012, 61–72

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