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RDF Stores

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  1. Abadi DJ, Marcus A, Madden S, Hollenbach K. SW-Store: a vertically partitioned DBMS for semantic Web data management. VLDB J. 2009;18(2):385–406.

    Article  Google Scholar 

  2. Aranda-Andújar A, Bugiotti F, Camacho-Rodríguez J, Colazzo D, Goasdoué F, Kaoudi Z, Manolescu I. Amada: Web data repositories in the Amazon cloud. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management; 2012. p. 2749–51.

    Google Scholar 

  3. Broekstra J, Kampman A, van Harmelen F. Sesame: a generic architecture for storing and querying RDF and RDF schema. In: Proceedings of the 1st International Semantic Web Conference; 2002. p. 54–68.

    Google Scholar 

  4. Bugiotti F, Camacho-Rodríguez J, Goasdoué F, Kaoudi Z, Manolescu I, Zampetakis S. SPARQL query processing in the cloud. In: Harth A, Hose K, Schenkel R, editors. Linked data management. Boca Raton: CRC Press; 2014. p. 165–92.

    Chapter  Google Scholar 

  5. Cudré-Mauroux P, Enchev I, Fundatureanu S, Groth PT, Haque A, Harth A, Leif Keppmann F, Miranker DP, Sequeda J, Wylot M. NoSQL databases for RDF: an empirical evaluation. In: Proceedings of the 12th International Semantic Web Conference; 2013. p. 310–25.

    Chapter  Google Scholar 

  6. Dean J, Ghemawat S. Mapreduce: simplified data processing on large clusters. In: Proceedings of the 6th USENIX Symposium on Operating System Design and Implementation; 2004. p. 137–50.

    Google Scholar 

  7. Erling O, Mikhailov I. RDF support in the virtuoso DBMS. In: Pellegrini T, Auer S, Tochtermann K, Schaffert S, editors. Networked knowledge – networked media. Studies in computational intelligence. Berlin/Heidelberg: Springer; 2009. vol. 221, p. 7–24.

    Google Scholar 

  8. Galarraga L, Hose K, Schenkel R. Partout: a distributed engine for efficient RDF processing. In: Proceedings of the 23rd International World Wide Web Conference; 2014. p. 267–68.

    Google Scholar 

  9. Harris S, Gibbins N. 3store: efficient bulk RDF storage. In: Proceedings of 1st International Workshop on Practical and Scalable Semantic Systems; 2003.

    Google Scholar 

  10. Harth A, Decker S. Optimized index structures for querying RDF from the web. In: Proceedings of the Third Latin American Web Congress; 2005. p. 71–80.

    Google Scholar 

  11. Harth A, Umbrich J, Hogan A, Decker S. YARS2: a federated repository for querying graph structured data from the Web. In: Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference; 2007. p. 211–24.

    Google Scholar 

  12. Hose K, Schenkel R. WARP: workload-aware replication and partitioning for RDF. In: Proceedings of the 4th International Workshop on Data Engineering meets the Semantic Web (In conjunction with ICDE 2013); 2013. p. 1–6.

    Google Scholar 

  13. Hose K, Schenkel R, Theobald M, Weikum G. Database foundations for scalable RDF processing. In: Proceedings of the 7th International Conference on Reasoning Web: Semantic Technologies for the Web of Data; 2011. p. 202–49.

    Google Scholar 

  14. Huang J, Abadi DJ, Ren K. Scalable SPARQL querying of large RDF graphs. Proc. VLDB Endow. 2011;4(11):1123–34.

    Google Scholar 

  15. Husain MF, McGlothlin JP, Masud MM, Khan LR, Thuraisingham BM. Heuristics-based query processing for large rdf graphs using cloud computing. IEEE Trans Knowl Data Eng. 2011;23(9):1312–27.

    Article  Google Scholar 

  16. Kaoudi Z, Manolescu I. RDF in the clouds: a survey. VLDB J. 2014;24(1):1–25.

    Google Scholar 

  17. McBride B. Jena: a semantic web toolkit. IEEE Internet comput. 2002;6(6):55–59.

    Article  Google Scholar 

  18. Neumann T, Weikum G. The RDF-3X engine for scalable management of RDF data. VLDB J. 2010;19(1):91–113.

    Article  Google Scholar 

  19. Papailiou N, Konstantinou I, Tsoumakos D, Koziris N. H2RDF: adaptive query processing on RDF data in the cloud. In: Proceedings of the 21st International Conference on World Wide Web (Companion Volume); 2012. p. 397–400.

    Google Scholar 

  20. Punnoose R, Crainiceanu A, Rapp D. Rya: a scalable RDF triple store for the clouds. In: Proceedings of the 1st International Workshop on Cloud Intelligence; 2012. p. 4.

    Google Scholar 

  21. Rohloff K, Schantz RE. High-performance, massively scalable distributed systems using the mapReduce software framework: the SHARD triple-store. In: Programming Support Innovations for Emerging Distributed Applications; 2010. p. 4:1–4:5.

    Google Scholar 

  22. Sakr S, Al-Naymat G. Relational processing of RDF queries: a survey. SIGMOD Rec. 2009;38(4):23–28.

    Article  Google Scholar 

  23. Thompson B, Personick M, Cutcher M. The bigdata RDF graph database. In: Harth A, Hose K, Schenkel R, editors. Linked data management. Boca Raton: CRC Press; 2014. p. 193–237.

    Chapter  Google Scholar 

  24. Weiss C, Karras P, Bernstein A. Hexastore: sextuple indexing for Semantic Web data management. Proc. VLDB Endow. 2008;1(1):1008–19.

    Article  Google Scholar 

  25. Zeng K, Yang J, Wang H, Shao B, Wang Z. A distributed graph engine for web scale RDF data. Proc. VLDB Endow. 2013;6(4):265–76.

    Article  Google Scholar 

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Correspondence to Katja Hose .

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Hose, K., Schenkel, R. (2018). RDF Stores. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80676

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