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Yuan et al., 2019 - Google Patents

Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments

Yuan et al., 2019

Document ID
16463038895162463520
Author
Yuan P
Lin L
Kou Z
Liu L
Jin H
Publication year
Publication venue
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

External Links

Snippet

RDF data is big and continues to grow rapidly. RDF data sets are typically viewed as heterogeneous graph data sets with complex correlations and multifaceted heterogeneity. Although there have been flurry of research on processing and analyzing RDF data, efficient …
Continue reading at ieeexplore.ieee.org (other versions)

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    • G06F17/30442—Query optimisation
    • G06F17/30448—Query rewriting and transformation
    • G06F17/30451—Query rewriting and transformation of sub-queries or views
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