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View Selection in Semantic Web Databases

Summary: View selection for Semantic Web DBs with RDF data and implicit inference, balancing query cost, storage, and maintenance. Extends relational methods to RDF, adding RDF-aware view selection and reformulation to control combinatorial explosion, with scalable experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h6f104f764f4a04b5
Venue
VLDB
Year
2012
Pagerank
5.3571595e-05
Overall Rank
8,313 | 44.11%
DOI
10.14778/2078324.2078338

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{goasdoue_vldb12,
        title = {{View Selection in Semantic Web Databases}},
        author = {Goasdoué, François and Karanasos, Konstantinos and Leblay, Julien and Manolescu, Ioana},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {2},
        pages = {97--108},
        doi = {10.14778/2078324.2078338},
        url = {https://doi.org/10.14778/2078324.2078338},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,745 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 9.7343818e-05
8,696 View Selection over Knowledge Graphs in Triple Stores 2021 VLDB 5.2905577e-05
12,152 An Efficient Index for RDF Query Containment 2019 SIGMOD 4.9793485e-05
12,243 Stylus: A Strongly-Typed Store for Serving Massive RDF Data 2018 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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