Domain Knowledge Elicitation
Domain Knowledge Elicitation is a systematic process within the field of knowledge engineering that identifies, extracts, and formalizes specialized knowledge from experts or sources in a particular subject area, distinguished by its focus on capturing domain-specific concepts, relationships, and reasoning patterns to support the development of intelligent systems or knowledge-based applications.
479
Publications
20.9K
Citations
1.4K
Authors
565
Institutions
Publications per year
2017–2026
85
Parents
479
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Ishika Singh, Valts Blukis, Arsalan Mousavian et al. · 2023 · 511 citations
1–5 of 479
1.4K
5
h-index
5
h-index
5
h-index
5
h-index
4
h-index
1–5 of 1.4K
565
Stanford University
Stanford, United States
9 h-index
18 publications
804 citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
15 publications
700 citations
University of Michigan
Ann Arbor, United States
7 h-index
15 publications
606 citations

University of Manchester
Manchester, United Kingdom
6 h-index
16 publications
384 citations
University College London
London, United Kingdom
6 h-index
8 publications
229 citations
University of Southern California
Los Angeles, United States
5 h-index
13 publications
1.4K citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
11 publications
283 citations

New Mexico State University
Las Cruces, United States
5 h-index
8 publications
831 citations
1–8 of 565
9 publications · 221 citations
9
h-index
7 publications · 316 citations
7
h-index
TKDE · 6 publications · 379 citations
6
h-index
6 publications · 113 citations
6
h-index
TSE · 5 publications · 334 citations
5
h-index
1–5