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22. Chang, F., Dean, J., Ghemawat, S., Hsieh, W., Wallach, D., Burrows, M., Chandra, T.,
Fikes, A., Gruber, R.: Bigtable: A Distributed Storage System for Structured Data. ACM
Trans. Comput. Syst. (TOCS) 26(2), 4 (2008).
23. Sun, J., Jin, Q.: Scalable RDF Store Based on HBase and MapReduce. In: ICACTE ,
vol. 1, pp. 633-636 (2010).
24. Weiss, C., Karras, P., Bernstein, A.: Hexastore: Sextuple Indexing for Semantic Web
Data Management. PVLDB 1(1), 1008-1019 (2008).
25. Franke, C., Morin, S., Chebotko, A., Abraham, J., Brazier, P.: Distributed Semantic Web
Data Management in HBase and MySQL Cluster. In: IEEE International Conference on
Cloud Computing (CLOUD) , pp. 105-112 (2011).
26. Urbani, J., Kotoulas, S., Maassen, J., van Harmelen, F., Bal, H.: OWL Reasoning with
WebPIE: Calculating the Closure of 100 Billion Triples. In: ESWC , pp. 213-227 (2010).
27. Broekstra, J., Kampman, A., van Harmelen, F.: Sesame: A Generic Architecture for
Storing and Querying RDF and RDF Schema. In: Proc. ISWC (2002).
28. Wilkinson, K., Sayers, C., Kuno, H.A., Reynolds, D.: Efficient RDF Storage and
Retrieval in Jena2. In: SWDB , pp. 131-150 (2003).
29. Neumann, T., Weikum, G.: RDF-3X: A RISC-Style Engine for RDF. PVLDB 1(1), 647-
659 (2008).
30. Husain, M.F., McGlothlin, J.P., Masud, M.M., Khan, L.R., Thuraisingham, B.M.:
Heuristics-Based Query Processing for Large RDF Graphs Using Cloud Computing.
IEEE TKDE 23(9), 1312-1327 (2011).
31. Mika, P., Tummarello, G.: Web Semantics in the Clouds. IEEE Intell. Syst. 23(5), 82-87
(2008).
32. Husain, M., Khan, L., Kantarcioglu, M., Thuraisingham, B.: Data Intensive Query
Processing for Large RDF Graphs Using Cloud Computing Tools. In: Proc. CLOUD ,
pp. 1-10. IEEE (2010).
33. Myung, J., Yeon, J., Lee, S.: SPARQL Basic Graph Pattern Processing With Iterative
MapReduce. In: Proc. MDAC , pp. 1-6. ACM (2010).
34. Gates, A.F., Natkovich, O., Chopra, S., Kamath, P., Narayanamurthy, S.M., Olston, C.,
Reed, B., Srinivasan, S., Srivastava, U.: Building a High-Level Dataflow System on Top
of Map-Reduce: The Pig Experience. PVLDB 2(2), 1414-1425 (2009).
35. Afrati, F.N., Ullman, J.D.: Optimizing Multiway Joins in a Map-Reduce Environment.
IEEE TKDE 23(9), 1282-1298 (2011).
36. Jiang, D., Tung, A.K.H., Chen, G.: Map-Join-Reduce: Toward Scalable and Efficient
Data Analysis on Large Clusters. IEEE TKDE 23(9), 1299-1311 (2011).
37. Okcan, A., Riedewald, M.: Processing Theta-Joins Using MapReduce. In: SIGMOD
Conference , pp. 949-960 (2011).
38. Przyjaciel-Zablocki, M., Schätzle, A., Hornung, T., Lausen, G.: RDFPath: Path Query
Processing on Large RDF Graphs with MapReduce. In: ESWC Workshops , pp. 50-64
(2011).
39. Yang, H.-C., Dasdan, A., Hsiao, R.-L., Parker, S.: Map-Reduce-Merge: Simplified
Relational Data Processing on Large Clusters. In: SIGMOD (2007).
40. Dittrich, J., Quiané-Ruiz, J.A., Jindal, A., Kargin, Y., Setty, V., Schad, J.: Hadoop++:
Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing). PVLDB
3(1), 518-529 (2010).
41. Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D.J., Rasin, A., Silberschatz, A.:
HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for
Analytical Workloads. PVLDB 2(1), 922-933 (2009).
42. Erling, O., Mikhailov, I.: Towards Web Scale RDF. In: Proc. SSWS (2008).
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