Elicitation in Knowledge Engineering is a systematic process within knowledge acquisition that identifies, extracts, and formalizes expert knowledge, distinguishing itself by its structured methodologies to capture tacit and explicit knowledge for the development of knowledge-based systems.
89
Publications
3.4K
Citations
198
Authors
105
Institutions
Publications per year
2017–2026
6
Parents
Publications
89
1–5 of 89
Authors
198
- AM
4
h-index
- GR
4
h-index
- NR
3
h-index
- AP
3
h-index
- BR
3
h-index
1–5 of 198
Institutions
105
New Mexico State University
Las Cruces, United States
3 h-index
6 publications
232 citations
Decision Sciences (United States)
Fort Walton Beach, United States
3 h-index
5 publications
124 citations
George Mason University
Fairfax, United States
2 h-index
3 publications
62 citations
City, University of London
London, United Kingdom
2 h-index
2 publications
93 citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
4 publications
114 citations
Engineering Systems (United States)
Omaha, United States
2 h-index
4 publications
114 citations
University of Cincinnati
Cincinnati, United States
2 h-index
2 publications
30 citations
University of West Florida
Pensacola, United States
2 h-index
5 publications
158 citations
1–8 of 105
Venues
- Expert Systems
7 publications · 236 citations
7
h-index
- IEEE Transactions on Systems Man and Cybernetics
4 publications · 178 citations
4
h-index
- Artificial Intelligence Review
3 publications · 116 citations
3
h-index
- International Journal of Man-Machine Studies
3 publications · 178 citations
3
h-index
- Engineering Applications of Artificial Intelligence
2 publications · 48 citations
2
h-index
1–5