Rule-based Matching

Rule-Based Matching is a deterministic matching methodology that employs explicitly defined syntactic or semantic rules to establish correspondences between records by evaluating attribute values against predefined conditions.

123

Publications

5.2K

Citations

359

Authors

151

Institutions

Publications per year

2017–2026

27

Variants

Deterministic MatchingDeterministic Record Linkage

Authors

359

  1. NT
    Nan Tang

    Tsinghua University, China

    4 publications · 328 citations

    4

    h-index

  2. SM
    Shuai Ma

    Beihang University, China

    3 publications · 413 citations

    3

    h-index

  3. WF
    Wenfei Fan

    University of Edinburgh, United Kingdom

    3 publications · 413 citations

    3

    h-index

  4. DR
    Dmitry Rovniagin

    Tel Aviv University, Israel

    2 publications · 42 citations

    2

    h-index

  5. TK
    Temur Kutsia

    Johannes Kepler University of Linz, Austria

    2 publications · 45 citations

    2

    h-index

1–5 of 359

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 165 citations

    5

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 436 citations

    3

    h-index

  3. IEEE Transactions on Computers

    1 publications · 51 citations

    1

    h-index

  4. Journal of Web Semantics

    1 publications · 11 citations

    1

    h-index

  5. 2019 IEEE International Conference on Energy Internet (ICEI)

    Conference · 1 publications · 19 citations

    1

    h-index

1–5