An Adaptive Framework for RDF Stream Processing-Reference-Cited by-同舟云学术

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An Adaptive Framework for RDF Stream Processing

Published:2017 Issue: Volume: Page:427-443
ISSN:0302-9743
Container-title:Web and Big Data
language:
Short-container-title:

Author:

Li Qiong,Zhang Xiaowang,Feng Zhiyong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-63579-8_33

Reference20 articles.

1. Boncz, P.A., Kersten, M.L., Manegold, S.: Breaking the memory wall in MonetDB. Commun. ACM 51(12), 77–85 (2008)

2. Anicic, D., Fodor, P., Rudolph, S., Stojanovic, N.: EP-SPARQL: a unified language for event processing and stream reasoning. In: Proceedings of WWW 2011, pp. 635–644 (2011)

3. Atre, A., Chaoji, V., Zaki, M.J., Hendler, J.A.: Matrix “Bit" loaded: a scalable lightweight join query processor for RDF data. In: Proceedings of WWW 2010, pp. 41–50 (2010)

4. Barbieri, D.F., Braga, D., Ceri, S., Della Valle, E., Grossniklaus, M.: Querying RDF streams with C-SPARQL. SIGMOD Rec. 39(1), 20–26 (2010)

5. Barbieri, D.F., Braga, D., Ceri, S., Grossniklaus, M.: An execution environment for C-SPARQL queries. In: Proceedings of EDBT 2010, pp. 441–452 (2010)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Query for Streaming Information;Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18;2018

2. PRSPR: An Adaptive Framework for Massive RDF Stream Reasoning;Web and Big Data;2018

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