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Huang et al., 2011 - Google Patents

Scalable SPARQL querying of large RDF graphs

Huang et al., 2011

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Document ID
12059921378622914748
Author
Huang J
Abadi D
Ren K
Publication year
Publication venue
Proceedings of the VLDB Endowment

External Links

Snippet

The generation of RDF data has accelerated to the point where many data sets need to be partitioned across multiple machines in order to achieve reasonable performance when querying the data. Although tremendous progress has been made in the Semantic Web …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30442—Query optimisation
    • G06F17/30448—Query rewriting and transformation
    • G06F17/30451—Query rewriting and transformation of sub-queries or views
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30477—Query execution
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
    • G06F17/30545—Distributed queries
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    • G06F17/30312—Storage and indexing structures; Management thereof
    • G06F17/30321—Indexing structures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30584—Details of data partitioning, e.g. horizontal or vertical partitioning
    • G—PHYSICS
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    • G06F9/5061—Partitioning or combining of resources

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