메뉴 건너뛰기




Volumn , Issue , 2012, Pages 666-677

Scalable multi-query optimization for SPARQL

Author keywords

[No Author keywords available]

Indexed keywords

CLASSICAL PROBLEMS; COST MODELS; ESSENTIAL COMPONENT; EXPERIMENTAL STUDIES; GRAPH QUERIES; MULTIQUERY OPTIMIZATION; NP-HARDNESS; OPTIMIZATION TECHNIQUES; QUERY ENGINES; RDF STORES; SEMI STRUCTURED DATA; SUB-STRUCTURES;

EID: 84864245894     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2012.37     Document Type: Conference Paper
Times cited : (103)

References (42)
  • 1
    • 85011081955 scopus 로고    scopus 로고
    • Scalable semantic web data management using vertical partitioning
    • D. J. Abadi, A. Marcus, S. R. Madden, and K. Hollenbach. Scalable semantic web data management using vertical partitioning. In VLDB, 2007.
    • (2007) VLDB
    • Abadi, D.J.1    Marcus, A.2    Madden, S.R.3    Hollenbach, K.4
  • 2
    • 70449647291 scopus 로고    scopus 로고
    • The expressive power of SPARQL
    • R. Angles and C. Gutierrez. The expressive power of SPARQL. In ISWC, 2008.
    • (2008) ISWC
    • Angles, R.1    Gutierrez, C.2
  • 3
    • 77954642549 scopus 로고    scopus 로고
    • Matrix "bit" loaded: A scalable lightweight join query processor for RDF data
    • M. Atre, V. Chaoji, M. J. Zaki, and J. A. Hendler. Matrix "bit" loaded: A scalable lightweight join query processor for RDF data. In WWW, 2010.
    • (2010) WWW
    • Atre, M.1    Chaoji, V.2    Zaki, M.J.3    Hendler, J.A.4
  • 6
    • 0344496700 scopus 로고    scopus 로고
    • Navigation- vs. index-based XML multi-query processing
    • N. Bruno, L. Gravano, N. Koudas, and D. Srivastava. Navigation- vs. index-based XML multi-query processing. In ICDE, 2003.
    • (2003) ICDE
    • Bruno, N.1    Gravano, L.2    Koudas, N.3    Srivastava, D.4
  • 8
    • 84866598899 scopus 로고    scopus 로고
    • Scheduling and caching in multi-query optimization
    • A. A. Diwan, S. Sudarshan, and D. Thomas. Scheduling and caching in multi-query optimization. In COMAD, 2006.
    • (2006) COMAD
    • Diwan, A.A.1    Sudarshan, S.2    Thomas, D.3
  • 9
    • 79959974469 scopus 로고    scopus 로고
    • Apples and oranges: A comparison of RDF benchmarks and real RDF datasets
    • S. Duan, A. Kementsietsidis, K. Srinivas, and O. Udrea. Apples and oranges: a comparison of RDF benchmarks and real RDF datasets. In SIGMOD, 2011.
    • (2011) SIGMOD
    • Duan, S.1    Kementsietsidis, A.2    Srinivas, K.3    Udrea, O.4
  • 10
    • 85039648422 scopus 로고
    • Common expression analysis in database applications
    • S. Finkelstein. Common expression analysis in database applications. In SIGMOD, 1982.
    • (1982) SIGMOD
    • Finkelstein, S.1
  • 13
    • 84864268826 scopus 로고    scopus 로고
    • Dynamic querying of mass-storage RDF data with rule-based entailment regimes
    • G. Ianni, T. Krennwallner, R. Martello, and A. Polleres. Dynamic querying of mass-storage RDF data with rule-based entailment regimes. In ISWC, 2009.
    • (2009) ISWC
    • Ianni, G.1    Krennwallner, T.2    Martello, R.3    Polleres, A.4
  • 15
    • 69049089015 scopus 로고    scopus 로고
    • Scalable multi-query optimization for exploratory queries over federated scientific databases
    • A. Kementsietsidis, F. Neven, D. V. de Craen, and S. Vansummeren. Scalable multi-query optimization for exploratory queries over federated scientific databases. PVLDB, 2008.
    • (2008) PVLDB
    • Kementsietsidis, A.1    Neven, F.2    De Craen, D.V.3    Vansummeren, S.4
  • 16
    • 0034909407 scopus 로고    scopus 로고
    • Enumerating all connected maximal common subgraphs in two graphs
    • I. Koch. Enumerating all connected maximal common subgraphs in two graphs. Theoretical Computer Science, 2001.
    • (2001) Theoretical Computer Science
    • Koch, I.1
  • 18
    • 84859172690 scopus 로고    scopus 로고
    • RDF-3X: A RISC-style engine for RDF
    • T. Neumann and G. Weikum. RDF-3X: a RISC-style engine for RDF. In PVLDB, 2008.
    • (2008) PVLDB
    • Neumann, T.1    Weikum, G.2
  • 19
    • 70849136081 scopus 로고    scopus 로고
    • Scalable join processing on very large RDF graphs
    • T. Neumann and G. Weikum. Scalable join processing on very large RDF graphs. In SIGMOD, 2009.
    • (2009) SIGMOD
    • Neumann, T.1    Weikum, G.2
  • 20
    • 0036208176 scopus 로고    scopus 로고
    • Multiple query optimization by cache-aware middleware using query teamwork
    • K. O'Gorman, D. Agrawal, and A. E. Abbadi. Multiple query optimization by cache-aware middleware using query teamwork. In ICDE, 2002.
    • (2002) ICDE
    • O'Gorman, K.1    Agrawal, D.2    Abbadi, A.E.3
  • 21
    • 84867997005 scopus 로고    scopus 로고
    • A fast algorithm for the maximum clique problem
    • P. R. Östergård. A fast algorithm for the maximum clique problem. Discrete Applied Mathematics, pages 195-205, 2002.
    • (2002) Discrete Applied Mathematics , pp. 195-205
    • Östergård, P.R.1
  • 22
    • 0023843463 scopus 로고
    • Using common subexpressions to optimize multiple queries
    • J. Park and A. Segev. Using common subexpressions to optimize multiple queries. In ICDE, 1988.
    • (1988) ICDE
    • Park, J.1    Segev, A.2
  • 23
    • 35348900819 scopus 로고    scopus 로고
    • From SPARQL to rules (and back)
    • A. Polleres. From SPARQL to rules (and back). In WWW, 2007.
    • (2007) WWW
    • Polleres, A.1
  • 25
    • 0036663707 scopus 로고    scopus 로고
    • Maximum common subgraph isomorphism algorithms for the matching of chemical structures
    • J. W. Raymond and P. Willett. Maximum common subgraph isomorphism algorithms for the matching of chemical structures. Journal of Computer-Aided Molecular Design, 16:521-533, 2002.
    • (2002) Journal of Computer-Aided Molecular Design , vol.16 , pp. 521-533
    • Raymond, J.W.1    Willett, P.2
  • 27
    • 0039845422 scopus 로고    scopus 로고
    • Efficient and extensible algorithms for multi query optimization
    • P. Roy, S. Seshadri, S. Sudarshan, and S. Bhobe. Efficient and extensible algorithms for multi query optimization. In SIGMOD, 2000.
    • (2000) SIGMOD
    • Roy, P.1    Seshadri, S.2    Sudarshan, S.3    Bhobe, S.4
  • 29
    • 79951902508 scopus 로고    scopus 로고
    • Foundations of SPARQL query optimization
    • M. Schmidt, M. Meier, and G. Lausen. Foundations of SPARQL query optimization. In ICDT, 2010.
    • (2010) ICDT
    • Schmidt, M.1    Meier, M.2    Lausen, G.3
  • 30
    • 0025446940 scopus 로고
    • On the multiple-query optimization problem
    • T. Sellis and S. Ghosh. On the multiple-query optimization problem. IEEE Trans. Knowl. Data Eng., 2(2):262-266, 1990.
    • (1990) IEEE Trans. Knowl. Data Eng. , vol.2 , Issue.2 , pp. 262-266
    • Sellis, T.1    Ghosh, S.2
  • 31
    • 0023977778 scopus 로고
    • Multiple-query optimization
    • T. K. Sellis. Multiple-query optimization. ACM Trans. Database Syst., 13(1):23-52, 1988.
    • (1988) ACM Trans. Database Syst. , vol.13 , Issue.1 , pp. 23-52
    • Sellis, T.K.1
  • 32
    • 0028392537 scopus 로고
    • Improvements on a heuristic algorithm for multiple-query optimization
    • K. Shim, T. K. Sellis, and D. Nau. Improvements on a heuristic algorithm for multiple-query optimization. Data and Knowledge Engineering, 12(2):197-222, 1994.
    • (1994) Data and Knowledge Engineering , vol.12 , Issue.2 , pp. 197-222
    • Shim, K.1    Sellis, T.K.2    Nau, D.3
  • 33
    • 57349181191 scopus 로고    scopus 로고
    • SPARQL basic graph pattern optimization using selectivity estimation
    • M. Stocker, A. Seaborne, and A. Bernstein. SPARQL basic graph pattern optimization using selectivity estimation. In WWW, 2008.
    • (2008) WWW
    • Stocker, M.1    Seaborne, A.2    Bernstein, A.3
  • 35
    • 35248814346 scopus 로고    scopus 로고
    • An efficient branch-and-bound algorithm for finding a maximum clique
    • Discrete Mathematics and Theoretical Computer Science
    • E. Tomita and T. Seki. An efficient branch-and-bound algorithm for finding a maximum clique. Discrete Mathematics and Theoretical Computer Science, LNCS, 2003.
    • (2003) LNCS
    • Tomita, E.1    Seki, T.2
  • 36
    • 26444544192 scopus 로고    scopus 로고
    • Multi-query optimization for sensor networks
    • Distributed Computing in Sensor Systems (DCOSS)
    • N. Trigoni, Y. Yao, A. J. Demers, J. Gehrke, and R. Rajaraman. Multi-query optimization for sensor networks. In Distributed Computing in Sensor Systems (DCOSS), LNCS.
    • LNCS
    • Trigoni, N.1    Yao, Y.2    Demers, A.J.3    Gehrke, J.4    Rajaraman, R.5
  • 39
    • 84859208444 scopus 로고    scopus 로고
    • Hexastore: Sextuple indexing for semantic web data management
    • C. Weiss, P. Karras, and A. Bernstein. Hexastore: sextuple indexing for semantic web data management. PVLDB, 2008.
    • (2008) PVLDB
    • Weiss, C.1    Karras, P.2    Bernstein, A.3
  • 40
    • 0003144828 scopus 로고
    • Query transformation for PSJ-queries
    • H. Z. Yang and P. Larson. Query transformation for PSJ-queries. PVLDB, 1987.
    • (1987) PVLDB
    • Yang, H.Z.1    Larson, P.2
  • 41
    • 79959966159 scopus 로고    scopus 로고
    • On graph query optimization in large networks
    • P. Zhao and J. Han. On graph query optimization in large networks. In PVLDB, 2010.
    • (2010) PVLDB
    • Zhao, P.1    Han, J.2
  • 42
    • 0032093473 scopus 로고    scopus 로고
    • Simultaneous optimization and evaluation of multiple dimensional queries
    • Y. Zhao, P. Deshpande, J. F. Naughton, and A. Shukla. Simultaneous optimization and evaluation of multiple dimensional queries. In SIGMOD, 1998.
    • (1998) SIGMOD
    • Zhao, Y.1    Deshpande, P.2    Naughton, J.F.3    Shukla, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.