Scalable SAPRQL Querying Processing on Large RDF Data in Cloud Computing Environment-Reference-Cited by-同舟云学术

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Scalable SAPRQL Querying Processing on Large RDF Data in Cloud Computing Environment

Published:2013 Issue: Volume: Page:631-646
ISSN:0302-9743
Container-title:Pervasive Computing and the Networked World
language:
Short-container-title:

Author:

Wu Buwen,Jin Hai,Yuan Pingpeng

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-37015-1_55

Reference31 articles.

1. The Friend of a Friend (FOAF) project, http://www.foaf-project.org/

2. Linking open data on the Semantic Web, http://www.w3.org/wiki/SweoIG/Task-Forces/CommunityProjects/LinkingOpenData

3. MapReduce, A.: major step backwards, http://databasecolumn.vertica.com/database-innovation/mapreduce-a-major-step-backwards/

4. MonetDB, http://www.monetdb.org/

5. Resource Description Framework (RDF), http://www.w3.org/TR/rdf-concepts/

Cited by 3 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. Storage, partitioning, indexing and retrieval in Big RDF frameworks: A survey;Computer Science Review;2020-11

2. Cloud-Based RDF Data Management;Synthesis Lectures on Data Management;2020-02-24

3. RDF in the clouds: a survey;The VLDB Journal;2014-07-11

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