Lightweighting the Web of Data through Compact RDF/HDT-Reference-Cited by-同舟云学术

Lightweighting the Web of Data through Compact RDF/HDT

Published:2011 Issue: Volume: Page:483-493
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Fernández Javier D.,Martínez-Prieto Miguel A.,Arias Mario,Gutierrez Claudio,Álvarez-García Sandra,Brisaboa Nieves R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-25274-7_49

Reference22 articles.

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2. Álvarez García, S., Brisaboa, N., Fernández, J.D., Martínez-Prieto, M.A.: Compressed k2-Triples for Full-In-Memory RDF Engines. In: Proc. of AMCIS, TBP (2011)

3. Arias, M., Fernández, J.D., Martínez-Prieto, M.A.: RDF Visualization using a Three-Dimensional Adjacency Matrix. In: Proc. of SemSearch (2011), http://km.aifb.kit.edu/ws/semsearch11/8.pdf

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

5. Bizer, C., Heath, T., Idehen, K., Berners-Lee, T.: Linked Data On the Web (LDOW 2008). In: Proc. of WWW, pp. 1265–1266 (2008)

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