Difference between revisions of "数据管理小组"

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== 综述 ==
 
== 综述 ==
 
# Z. Kaoudi and I. Manolescu. RDF in the Clouds: A Survey. VLDB J., 24(1):67–91, 2015. [https://link.springer.com/article/10.1007/s00778-014-0364-z]
 
# Z. Kaoudi and I. Manolescu. RDF in the Clouds: A Survey. VLDB J., 24(1):67–91, 2015. [https://link.springer.com/article/10.1007/s00778-014-0364-z]
−
# Özsu, M. Tamer. "A survey of RDF data management systems." Frontiers of Computer Science 10.3 (2016): 418-432.[https://link.springer.com/article/10.1007/s11704-016-5554-y]
+
# Özsu, M. Tamer. "A survey of RDF data management systems." Frontiers of Computer Science 10(3): 418-432, 2016.[https://link.springer.com/article/10.1007/s11704-016-5554-y]
−
# 邹磊, 彭鹏. 分布式 RDF 数据管理综述[J]. 计算机研究与发展, 2017, 54(6):1213-1224.[http://crad.ict.ac.cn/CN/abstract/abstract3420.shtml]
+
# 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.[http://crad.ict.ac.cn/CN/abstract/abstract3420.shtml]
−
# 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) (2017) 2049–2060.
+
# 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]
−
# Wylot, Marcin, et al. "RDF Data Storage and Query Processing Schemes: A Survey." ACM Computing Surveys (CSUR) 51.4 (2018):84.[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, 2019, 30(7):1000-9825. [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]
 
== 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, 1977, pp. 77–90. [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]
−
# Z. Sun, H. Wang, H. Wang, B. Shao, J. Li, Efficient subgraph matching on billion node graphs, Proceedings of the VLDB Endowment 5 (9) (2012) 788–799.[https://arxiv.org/abs/1205.6691]
+
# 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.[https://arxiv.org/abs/1205.6691]
−
# L. Lai, L. Qin, X. Lin, L. Chang, Scalable subgraph enumeration in MapReduce, Proceedings of the VLDB Endowment 8 (10) (2015) 974–985. [https://dl.acm.org/doi/abs/10.14778/2794367.2794368]
+
# L. Lai, L. Qin, X. Lin, L. Chang, Scalable subgraph enumeration in MapReduce, Proceedings of the VLDB Endowment 8(10):974–985, 2015. [https://dl.acm.org/doi/abs/10.14778/2794367.2794368]
 
# # 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. [https://link.springer.com/article/10.1007/S00778-015-0415-0]
 
# # 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. [https://link.springer.com/article/10.1007/S00778-015-0415-0]
−
# L. Lai, L. Qin, X. Lin, Y. Zhang, L. Chang, S. Yang, Scalable distributed subgraph enumeration, Proceedings of the Vldb Endowment 10 (3) (2016) 217–228. [https://dl.acm.org/doi/abs/10.14778/3021924.3021937]
+
# 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. [https://dl.acm.org/doi/abs/10.14778/3021924.3021937]
−
# 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) (2017) 2049–2060. [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]

Revision as of 12:04, 11 November 2020

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]

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. [7]
  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.[8]
  3. L. Lai, L. Qin, X. Lin, L. Chang, Scalable subgraph enumeration in MapReduce, Proceedings of the VLDB Endowment 8(10):974–985, 2015. [9]
  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. [10]
  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. [11]
  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. [12]
  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. [13]
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