FlexTable: Using a dynamic relation model to store RDF data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5981 LNCS, Issue PART 1, 2010, Pages 580-594

  Wang, Yan ^a   Du, Xiaoyong ^a   Lu, Jiaheng ^a   Wang, Xiaofang ^a  

^a Renmin University of China   (China)

Author keywords

Dynamic relational model; FlexTable; Lattice; RDF data

Indexed keywords

ADJUSTMENT COSTS; COMPREHENSIVE EXPERIMENTS; DYNAMIC RELATION; FLEXTABLE; LATTICE; LATTICE STRUCTURES; PAGE LAYOUTS; RDF DATA; RELATION MODELS; RELATIONAL MODEL; SCHEMA EVOLUTION; SCHEMAS; SEMANTIC WEB VISION; STATE-OF-THE-ART APPROACH; STORAGE FORMATS; TECHNICAL CHALLENGES;

SEMANTIC WEB; SEMANTICS;

DATABASE SYSTEMS;

EID: 77957753231     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12026-8_44     Document Type: Conference Paper

References (14)

1. Code, E.F.: A relational model of data for large shared data banks. Communications of the ACM 26, 64-69 (1983)
2. Abadi, D.J., Marcus, A., Madden, S.R., Hollenbach, K.: Scalable Semantic Web Data Management Using Vertical Partitioning. In: VLDB 2007, pp. 411-422 (2007)
3. Bonstrom, V., Hinze, A., Schweppe, H.: Storing RDF as a graph. In: LA-WEB 2003, pp. 27-36 (2003)
4. Carroll, J.J., Dickinson, I., Dollin, C.: Jena: implementing the semantic web recommendations. Technical Report, HP Labs (2004)
5. Broekstra, J., Kampman, A., Harmelen, F.: Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, pp. 54-68. Springer, Heidelberg (2002)
6. Weiss, C., Karras, P., Bernstein, A.: Hexastore: Sextuple Indexing for Semantic Web Data Management. In: VLDB 2008, pp. 1008-1019 (2008)
7. Neumann, T., Weikum, G.: RDF-3X: a RISC-style Engine for RDF. In: VLDB 2008, pp. 647-659 (2008)
8. Sidirourgos, L., Goncalves, R., Kersten, M., Nes, N., Manegold, S.: Column-Store Support for RDF Data Management: not all swans are white. In: VLDB 2008, pp. 1553-1563 (2008)
9. Schmidt, M., Hornung, T., et al.: An Experimental Comparison of RDF Data Management Approaches in a SPARQL Benchmark Scenario. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 82-97. Springer, Heidelberg (2008)
10. Quan, T.T., Hui, S.C., Cao, T.H.: A Fuzzy FCA-based Approach to Conceptual Clustering for Automatic Generation of Concept Hierarchy on Uncertainty Data. In: CLA 2004, pp. 1-12 (2004)
11. Chu, E., Beckmann, J., Naughton, J.: The Case for a Wide-Table Approach to Manage Sparse Relational Data Sets. In: SIGMOD 2007, pp. 821-832 (2007)
12. Wilkinson, K.: Jena Property Table Implementation. Technical Report, HP Labs (2006)
13. Neumann, T., Weikum, G.: Scalable Join Processing on Very Large RDF Graphs. In: SIGMOD 2009, pp. 627-640 (2009)
14. Chong, E.I., Das, S., Eadon, G., Srinivasan, J.: An Efficient SQL-based RDF Querying Scheme. In: VLDB 2005, pp. 1216-1227 (2005)