Semantic Query Optimization

Semantic Query Optimization is a query optimization technique that leverages logical constraints and domain semantics to rewrite queries into equivalent but more efficient forms by exploiting integrity constraints, views, and schema knowledge.

86

Publications

4.2K

Citations

184

Authors

100

Institutions

Publications per year

2017–2026

3

Authors

184

  1. JM
    Jack Minker

    University of Maryland, College Park, United States

    5 publications · 523 citations

    5

    h-index

  2. ZM
    Z. Meral Özsoyoğlu

    Case Western Reserve University, United States

    4 publications · 238 citations

    4

    h-index

  3. JG
    John Grant

    University of Maryland, College Park, United States

    4 publications · 441 citations

    4

    h-index

  4. JG
    Jarek Gryz

    York University, Canada

    4 publications · 169 citations

    4

    h-index

  5. GL
    Georg Lausen

    University of Freiburg, Germany

    3 publications · 106 citations

    3

    h-index

1–5 of 184

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 7 publications · 360 citations

    7

    h-index

  2. ACM Transactions on Database Systems

    TODS · 3 publications · 471 citations

    3

    h-index

  3. Very Large Data Bases

    Conference · 2 publications · 97 citations

    2

    h-index

  4. ACM SIGMOD Record

    2 publications · 79 citations

    2

    h-index

  5. International Journal of Cooperative Information Systems

    IJCIS · 1 publications · 10 citations

    1

    h-index

1–5