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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
10339
Venue
VLDB
Year
2012
Pagerank
4.5497619e-05
Overall Rank
8,251 | 42.60%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
1,922 Selecting Subexpressions to Materialize at Datacenter Scale 2018 VLDB 0.00010082599
8,295 View Selection over Knowledge Graphs in Triple Stores 2021 VLDB 4.5435639e-05
11,657 An Efficient Index for RDF Query Containment 2019 SIGMOD 4.1945683e-05
11,738 Stylus: A Strongly-Typed Store for Serving Massive RDF Data 2018 VLDB 4.1945683e-05
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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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