Unlocking the potential of nextGen multi-model databases for semantic big data projects-Reference-Cited by-同舟云学术

Unlocking the potential of nextGen multi-model databases for semantic big data projects

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Workshop on Semantic Big Data - SBD '19
language:
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Author:

Holubová Irena¹,Scherzinger Stefanie²

Affiliation:

1. Charles University, Prague, Czech Republic

2. OTH Regensburg, Regensburg, Germany

Publisher

ACM Press

Reference25 articles.

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2. Ibrahim Abdelaziz, Razen Harbi, Zuhair Khayyat, and Panos Kalnis. 2017. A Survey and Experimental Comparison of Distributed SPARQL Engines for Very Large RDF Data. Proc. VLDB Endow. 10, 13 (Sept. 2017), 2049--2060.

3. Scott Ambler. 2003. Agile Database Techniques: Effective Strategies for the Agile Software Developer (1st ed.). Wiley Publishing.

4. Scott W. Ambler and Pramodkumar J. Sadalage. 2006. Refactoring Databases: Evolutionary Database Design. Addison-Wesley Professional.

5. Marcelo Arenas, Alexandre Bertails, Eric Prud'hommeaux, and Juan Sequeda. 2012. A Direct Mapping of Relational Data to RDF. W3C Recommendation. W3C. http://www.w3.org/TR/rdb-direct-mapping/.

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