Difference between revisions of "数据管理小组"

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# I. Abdelaziz, R. Harbi, Z. Khayyat, P. Kalnis, A survey and experimental comparison of distributed SPARQL engines for very large RDF data, Proceedings of the Vldb Endowment 10(13):2049–2060, 2017. [https://dl.acm.org/doi/abs/10.14778/3151106.3151109]
 
# I. Abdelaziz, R. Harbi, Z. Khayyat, P. Kalnis, A survey and experimental comparison of distributed SPARQL engines for very large RDF data, Proceedings of the Vldb Endowment 10(13):2049–2060, 2017. [https://dl.acm.org/doi/abs/10.14778/3151106.3151109]
 
# I. Abdelaziz, R. Harbi, Z. Khayyat, and P. Kalnis. A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. PVLDB, 10(13):2049–2060, 2017. [https://dl.acm.org/doi/abs/10.14778/3151106.3151109]
 
# I. Abdelaziz, R. Harbi, Z. Khayyat, and P. Kalnis. A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. PVLDB, 10(13):2049–2060, 2017. [https://dl.acm.org/doi/abs/10.14778/3151106.3151109]
 +
# Yang Z, Lai L, Lin X, et al. Huge: An efficient and scalable subgraph enumeration system[J]. arXiv preprint arXiv:2103.14294, 2021.[https://arxiv.org/pdf/2103.14294.pdf]

Revision as of 13:28, 24 May 2021

综述

  1. Z. Kaoudi and I. Manolescu. RDF in the Clouds: A Survey. VLDB J., 24(1):67–91, 2015. [1]
  2. Özsu, M. Tamer. "A survey of RDF data management systems." Frontiers of Computer Science 10(3): 418-432, 2016.[2]
  3. 邹磊, 彭鹏. 分布式 RDF 数据管理综述[J]. 计算机研究与发展, 54(6):1213-1224, 2017.[3]
  4. I. Abdelaziz, R. Harbi, Z. Khayyat, P. Kalnis, A survey and experimental comparison of distributed SPARQL engines for very large RDF data, Proceedings of the Vldb Endowment 10(13):2049–2060,2017. [4]
  5. Wylot, Marcin, et al. "RDF Data Storage and Query Processing Schemes: A Survey." ACM Computing Surveys (CSUR) 51(4):84, 2018.[5]
  6. 王鑫, 邹磊, 王朝坤, 彭鹏. 知识图谱构建技术综述[J]. 软件学报, 30(7):1000-9825, 2019. [6]
  7. Besta M, Peter E, Gerstenberger R, et al. Demystifying graph databases: Analysis and taxonomy of data organization, system designs, and graph queries[J]. arXiv preprint arXiv:1910.09017, 2019. [7]

子图匹配查询相关

  1. A. K. Chandra, P. M. Merlin, Optimal implementation of conjunctive queries in relational databases, in ACM Symposium on Theory of Computing, pp.77–90, 1997. [8]
  2. Z. Sun, H. Wang, H. Wang, B. Shao, J. Li, Efficient subgraph matching on billion node graphs, Proceedings of the VLDB Endowment 5(9):788–799, 2012.[9]
  3. L. Lai, L. Qin, X. Lin, L. Chang, Scalable subgraph enumeration in MapReduce, Proceedings of the VLDB Endowment 8(10):974–985, 2015. [10]
  4. # P.Peng,L.Zou, M.T.Özsu, L.Chen, and D.Zhao.Processing SPARQL Queries over Distributed RDF Graphs. VLDB J., 25(2):243–268, 2016. [11]
  5. L. Lai, L. Qin, X. Lin, Y. Zhang, L. Chang, S. Yang, Scalable distributed subgraph enumeration, Proceedings of the Vldb Endowment 10(3)217–228, 2016. [12]
  6. I. Abdelaziz, R. Harbi, Z. Khayyat, P. Kalnis, A survey and experimental comparison of distributed SPARQL engines for very large RDF data, Proceedings of the Vldb Endowment 10(13):2049–2060, 2017. [13]
  7. I. Abdelaziz, R. Harbi, Z. Khayyat, and P. Kalnis. A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. PVLDB, 10(13):2049–2060, 2017. [14]
  8. Yang Z, Lai L, Lin X, et al. Huge: An efficient and scalable subgraph enumeration system[J]. arXiv preprint arXiv:2103.14294, 2021.[15]