Knowledge-based Semantics

Knowledge-Based Semantics is a theoretical framework within semantic processing that formally models meaning by integrating structured world knowledge into linguistic representation to enable deeper interpretation through explicit, domain-informed constraints.

144

Publications

7.3K

Citations

408

Authors

178

Institutions

Publications per year

2017–2026

24

Authors

408

  1. WV
    W.E. van der Linden

    University of Twente, Netherlands

    3 publications · 30 citations

    3

    h-index

  2. DK
    Dan Klein

    University of California, Berkeley, United States

    3 publications · 401 citations

    3

    h-index

  3. VR
    Victor Raskin

    Purdue University West Lafayette, United States

    3 publications · 86 citations

    3

    h-index

  4. NK
    Norman K. Sondheimer

    University of Delaware, United States

    2 publications · 46 citations

    2

    h-index

  5. JA
    Jacob Andreas

    University of California, Berkeley, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 408

Venues

  1. International Joint Conference on Artificial Intelligence

    Conference · 4 publications · 94 citations

    4

    h-index

  2. Analytica Chimica Acta

    3 publications · 30 citations

    3

    h-index

  3. Artificial Intelligence

    3 publications · 527 citations

    3

    h-index

  4. Knowledge-Based Systems

    3 publications · 289 citations

    3

    h-index

  5. Information Sciences

    2 publications · 55 citations

    2

    h-index

1–5