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From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra

Summary: NTGA offers a Nested TripleGroup Algebra tailored to SPARQL over MapReduce, reducing costly multi-way joins and I/O. RAPID+ extends Apache Pig to expose NTGA-Hadoop plans and align NTGA operators with relational algebra for Web-scale RDF processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10409
Venue
VLDB
Year
2011
Pagerank
5.3457324e-05
Overall Rank
8,955 | 38.57%
DOI
10.14778/3402755.3402787

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kim_vldb11,
        title = {{From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra}},
        author = {Kim, HyeongSik and Ravindra, Padmashree and Anyanwu, Kemafor},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        doi = {10.14778/3402755.3402787},
        url = {https://doi.org/10.14778/3402755.3402787},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,777 S2RDF: RDF Querying with SPARQL on Spark 2016 VLDB 5.5461212e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
6 Pig Latin: A Not-So-Foreign Language for Data Processing 2008 SIGMOD 0.0010686205
Previous Page 1 / 1 Next

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