Concept Reconciliation

Concept Reconciliation is a methodological framework within data mapping that systematically aligns semantically heterogeneous conceptual representations across disparate datasets or ontologies by resolving terminological, structural, and contextual discrepancies to establish coherent cross-domain correspondences.

7

Publications

336

Citations

27

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

27

  1. KS
    Kean‐Huat Soon

    University of Auckland, New Zealand

    1 publications · 10 citations

    1

    h-index

  2. KM
    Kristof Meixner

    TU Wien, Austria

    1 publications · 12 citations

    1

    h-index

  3. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    1 publications · 18 citations

    1

    h-index

  4. NP
    Nathalie Pernelle

    Laboratoire de Recherche en Informatique, France

    1 publications · 53 citations

    1

    h-index

  5. AB
    Aleksey Buzmakov

    National Research University Higher School of Economics, Russia

    1 publications · 18 citations

    1

    h-index

1–5 of 27

Venues

  1. Journal of Information Technology in Construction

    ITcon · 1 publications · 12 citations

    1

    h-index

  2. 1

    h-index

  3. Transactions in GIS

    1 publications · 10 citations

    1

    h-index

1–3