Corpus ID: 17779997

Topic-based Selectivity Estimation for Hybrid Queries over RDF Graphs

@inproceedings{Wagner2013TopicbasedSE,
  title={Topic-based Selectivity Estimation for Hybrid Queries over RDF Graphs},
  author={A. Wagner and Veli Bicer and Duc Thanh Tran},
  year={2013}
}
  • A. Wagner, Veli Bicer, Duc Thanh Tran
  • Published 2013
  • Computer Science
  • The Resource Description Framework (RDF) has become an accepted standard for describing entities on the Web. Many such RDF descriptions are text-rich – besides structured data, they also feature large portions of unstructured text. As a result, RDF data is frequently queried using predicates matching structured data, combined with string predicates for textual constraints: hybrid queries. Evaluating hybrid queries requires accurate means for selectivity estimation. Previous works on… CONTINUE READING

    References

    SHOWING 1-10 OF 31 REFERENCES
    Selectivity estimation for hybrid queries over text-rich data graphs
    • 3
    • PDF
    Graph-based synopses for relational selectivity estimation
    • 48
    • Highly Influential
    • PDF
    Estimating selectivity for joined RDF triple patterns
    • 13
    • PDF
    Characteristic sets: Accurate cardinality estimation for RDF queries with multiple joins
    • 184
    • PDF
    Selectivity estimation for extraction operators over text data
    • 11
    • Highly Influential
    • PDF
    Selectivity estimation using probabilistic models
    • 258
    • Highly Influential
    • PDF
    Independence is good: dependency-based histogram synopses for high-dimensional data
    • 139
    • PDF
    Lightweight graphical models for selectivity estimation without independence assumptions
    • 43
    • Highly Influential
    • PDF
    Join synopses for approximate query answering
    • 359
    • Highly Influential
    • PDF
    SPARK2: Top-k Keyword Query in Relational Databases
    • 84
    • PDF