Occupational Data Harmonization
Occupational Data Harmonization is the systematic process of aligning heterogeneous occupational classification systems into a common framework to enable consistent interpretation, comparison, and integration of occupational data across diverse sources, contexts, and time periods.
5
Publications
83
Citations
22
Authors
15
Institutions
Publications per year
2017–2026
4
Parents
5
Semantic matching of job seeker to vacancy: a bidirectional approach
Sisay Adugna Chala, Fazel Ansari, Madjid Fathi et al. · International Journal of Manpower · 2018 · 11 citations
Computing, Data Science, Data Mining +12
1–5 of 5
22
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1–5 of 22
15

Washington University in St. Louis
St Louis, United States
1 h-index
1 publications
23 citations
German National Bone Marrow Donor Registry
Ulm, Germany
1 h-index
3 publications
69 citations

Netherlands Institute for Advanced Study in the Humanities and Social Sciences
Wassenaar, Netherlands
1 h-index
1 publications
11 citations
Toronto Metropolitan University
Toronto, Canada
1 h-index
2 publications
24 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
12 citations

Swansea University
Swansea, United Kingdom
1 h-index
2 publications
46 citations
University of Siegen
Siegen, Germany
1 h-index
2 publications
22 citations
University of Arizona
Tucson, United States
1 h-index
1 publications
22 citations
1–8 of 15
IJM · 1 publications · 11 citations
1
h-index
1 publications · 22 citations
1
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MSJ · 1 publications · 23 citations
1
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RTP · 1 publications · 15 citations
1
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1 publications · 12 citations
1
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1–5