Named Entity Matching

Named Entity Matching is a method within the field of information extraction that identifies and links named entities across different textual sources by determining their semantic equivalence based on syntactic, contextual, and ontological features.

147

Publications

11.4K

Citations

458

Authors

167

Institutions

Publications per year

2017–2026

35

Authors

458

  1. AD
    AnHai Doan

    University of Wisconsin–Madison, United States

    7 publications · 432 citations

    7

    h-index

  2. WW
    William W. Cohen

    Carnegie Mellon University, United States

    6 publications · 2.4K citations

    6

    h-index

  3. JT
    Jie Tang

    Tsinghua University, China

    3 publications · 68 citations

    3

    h-index

  4. PX
    Pengjun Xie

    Alibaba Group (United States), United States

    3 publications · 110 citations

    3

    h-index

  5. SM
    Samrat Mondal

    Indian Institute of Technology Patna, India

    3 publications · 46 citations

    3

    h-index

1–5 of 458

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 235 citations

    4

    h-index

  2. Scientometrics

    4 publications · 192 citations

    4

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 27 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 105 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 29 citations

    2

    h-index

1–5