Cross-database Query Processing

Cross-Database Query Processing is a data integration method that enables the execution and coordination of queries across multiple heterogeneous databases with differing schemas, systems, or locations, while transparently retrieving and integrating distributed data.

8

Publications

654

Citations

22

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

22

  1. AM
    Amihai Motro

    George Mason University, United States

    2 publications · 104 citations

    2

    h-index

  2. PB
    Peter Buneman

    University of Pennsylvania, United States

    2 publications · 104 citations

    2

    h-index

  3. CA
    Craig A. Knoblock

    University of Southern California, United States

    1 publications · 414 citations

    1

    h-index

  4. RA
    Rakesh Agrawal

    IBM Research - Almaden, United States

    1 publications · 24 citations

    1

    h-index

  5. DA
    Dmitri Asonov

    IBM Research - Almaden, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 22

Venues

  1. International Journal of Cooperative Information Systems

    IJCIS · 1 publications · 414 citations

    1

    h-index

  2. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

  3. NTCIR

    1 publications · 18 citations

    1

    h-index

  4. Computational Linguistics

    1 publications · 51 citations

    1

    h-index

1–4