Concepedia

Cross-system Reconciliation

Cross-System Reconciliation is a data reconciliation method that identifies and resolves inconsistencies across multiple heterogeneous data systems by aligning their semantic, syntactic, and structural representations to ensure integrated data coherence and accuracy.

3

Publications

119

Citations

15

Authors

5

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–3 of 3

Authors

15

  1. MJ
    M. Jakobisiak

    Massachusetts Institute of Technology, United States

    1 publications · 70 citations

    1

    h-index

  2. CG
    Cher-Hiang Goh

    National University of Singapore, Singapore

    1 publications · 70 citations

    1

    h-index

  3. TP
    Teresa Peña

    Universidad de Valladolid, Spain

    1 publications · 70 citations

    1

    h-index

  4. HK
    H. Kon

    Massachusetts Institute of Technology, United States

    1 publications · 70 citations

    1

    h-index

  5. KF
    K. Fynn

    Massachusetts Institute of Technology, United States

    1 publications · 70 citations

    1

    h-index

1–5 of 15

Institutions

5

  1. Universidade de São Paulo

    São Paulo, Brazil

    1 h-index

    2 publications

    42 citations

  2. VA Connecticut Healthcare System

    West Haven, United States

    1 h-index

    1 publications

    28 citations

  3. Connecticut Health Foundation

    Hartford, United States

    1 h-index

    1 publications

    28 citations

  4. Yale University

    New Haven, United States

    1 h-index

    1 publications

    28 citations

  5. Massachusetts Institute of Technology

    Cambridge, United States

    1 h-index

    12 publications

    840 citations

1–5 of 5

Venues

  1. Computers & Chemical Engineering

    1 publications · 21 citations

    1

    h-index

  2. Psychopathology

    1 publications · 28 citations

    1

    h-index

1–2