Difference between revisions of "数据管理小组"
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# Wylot, Marcin, et al. "RDF Data Storage and Query Processing Schemes: A Survey." ACM Computing Surveys (CSUR) 51(4):84, 2018.[https://dl.acm.org/doi/abs/10.1145/3177850] | # Wylot, Marcin, et al. "RDF Data Storage and Query Processing Schemes: A Survey." ACM Computing Surveys (CSUR) 51(4):84, 2018.[https://dl.acm.org/doi/abs/10.1145/3177850] | ||
# 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. [http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=2&SID=5A8ngFeHmXRHcuUqaNS&page=1&doc=1] | # 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. [http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=2&SID=5A8ngFeHmXRHcuUqaNS&page=1&doc=1] | ||
+ | # 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. [https://arxiv.org/abs/1910.09017] | ||
== 子图匹配查询相关 == | == 子图匹配查询相关 == | ||
# 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. [https://dl.acm.org/doi/abs/10.1145/800105.803397] | # 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. [https://dl.acm.org/doi/abs/10.1145/800105.803397] |
Revision as of 12:09, 11 November 2020
综述
- Z. Kaoudi and I. Manolescu. RDF in the Clouds: A Survey. VLDB J., 24(1):67–91, 2015. [1]
- Özsu, M. Tamer. "A survey of RDF data management systems." Frontiers of Computer Science 10(3): 418-432, 2016.[2]
- 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]
- 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]
- Wylot, Marcin, et al. "RDF Data Storage and Query Processing Schemes: A Survey." ACM Computing Surveys (CSUR) 51(4):84, 2018.[5]
- 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]
- 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
- 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]
- 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]
- L. Lai, L. Qin, X. Lin, L. Chang, Scalable subgraph enumeration in MapReduce, Proceedings of the VLDB Endowment 8(10):974–985, 2015. [10]
- # 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]
- 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]
- 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]
- 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]