Knowledge Cleansing

Knowledge Cleansing is a knowledge quality management method that systematically identifies, corrects, and eliminates inaccuracies, redundancies, and inconsistencies within organizational knowledge assets to ensure their reliability, completeness, and semantic coherence.

4

Publications

154

Citations

13

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

13

  1. WL
    Wai Lup Low

    National University of Singapore, Singapore

    1 publications · 102 citations

    1

    h-index

  2. VL
    Vasyl Lytvyn

    Lviv Polytechnic National University, Ukraine

    1 publications · 11 citations

    1

    h-index

  3. AB
    Andrii Berko

    Lviv Polytechnic National University, Ukraine

    1 publications · 11 citations

    1

    h-index

  4. ML
    Mong Li Lee

    National University of Singapore, Singapore

    1 publications · 102 citations

    1

    h-index

  5. KH
    Kuan‐Tsae Huang

    IBM (United States), United States

    1 publications · 28 citations

    1

    h-index

1–5 of 13

Institutions

2

  1. IBM (United States)

    Armonk, United States

    1 h-index

    5 publications

    140 citations

  2. National University of Singapore

    Singapore, Singapore

    1 h-index

    3 publications

    306 citations

1–2 of 2

Venues

  1. Journal of Knowledge Management

    1 publications · 28 citations

    1

    h-index

  2. Information Systems

    1 publications · 102 citations

    1

    h-index

  3. Electronic Scientific Archive (Lviv Polytechnic)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. 1

    h-index

1–4