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

Authors

1.4K

  1. JW
    John W. Coffey

    University of West Florida, United States

    5 publications · 161 citations

    5

    h-index

  2. UH
    Udo Hahn

    Friedrich Schiller University Jena, Germany

    5 publications · 251 citations

    5

    h-index

  3. AM
    A. Mike Burton

    University of Glasgow, United Kingdom

    5 publications · 260 citations

    5

    h-index

  4. NR
    N. R. Shadbolt

    University of Southampton, United Kingdom

    5 publications · 290 citations

    5

    h-index

  5. GS
    Gavriel Salvendy

    Purdue University West Lafayette, United States

    4 publications · 121 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. Expert Systems with Applications

    9 publications · 221 citations

    9

    h-index

  2. Expert Systems

    7 publications · 316 citations

    7

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 6 publications · 379 citations

    6

    h-index

  4. 6

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 5 publications · 334 citations

    5

    h-index

1–5