Skill Taxonomy Modeling

Skill Taxonomy Modeling is a formal computational framework that systematically organizes and represents hierarchical or relational structures of skills within a domain, distinguishing itself by enabling precise skill identification, categorization, and granularity for expert recommendation systems.

16

Publications

1.6K

Citations

56

Authors

37

Institutions

Publications per year

2017–2026

9

Authors

56

  1. FG
    Fatih Gürcan

    Karadeniz Technical University, Türkiye

    2 publications · 171 citations

    2

    h-index

  2. BB
    Bedřich Beneš

    Purdue University West Lafayette, United States

    1 publications · 15 citations

    1

    h-index

  3. PC
    Patricia Caratozzolo

    Tecnológico de Monterrey, Mexico

    1 publications · 15 citations

    1

    h-index

  4. GP
    Guangyuan Piao

    Ollscoil na Gaillimhe – University of Galway, Ireland

    1 publications · 19 citations

    1

    h-index

  5. DG
    David Gross-Amblard

    Centre National de la Recherche Scientifique, France

    1 publications · 83 citations

    1

    h-index

1–5 of 56

Venues

  1. Social Network Analysis and Mining

    1 publications · 46 citations

    1

    h-index

  2. Journal of Experimental Psychology General

    1 publications · 398 citations

    1

    h-index

  3. Information Systems

    1 publications · 15 citations

    1

    h-index

  4. Humanities and Social Sciences Communications

    1 publications · 23 citations

    1

    h-index

  5. Journal of Cleaner Production

    1 publications · 77 citations

    1

    h-index

1–5