Case-based Knowledge Representation

Case-Based Knowledge Representation is a formal framework that structurally encodes instructional or problem-solving experiences as cases, distinguishing itself by organizing knowledge around specific contextual instances to facilitate reasoning, retrieval, and application in subsequent analogous situations.

627

Publications

30.2K

Citations

1.3K

Authors

547

Institutions

Publications per year

2017–2026

67

Authors

1.3K

  1. DL
    David Leake

    Indiana University Bloomington, United States

    19 publications · 1.2K citations

    15

    h-index

  2. AA
    Agnar Aamodt

    Norwegian University of Science and Technology, Norway

    16 publications · 7.2K citations

    14

    h-index

  3. KA
    Klaus‐Dieter Althoff

    University of Hildesheim, Germany

    12 publications · 271 citations

    12

    h-index

  4. PC
    Pádraig Cunningham

    University College Dublin, Ireland

    10 publications · 347 citations

    10

    h-index

  5. IW
    Ian Watson

    University of Manchester, United Kingdom

    10 publications · 1.2K citations

    10

    h-index

1–5 of 1.3K

Venues

  1. Expert Systems with Applications

    46 publications · 1.9K citations

    26

    h-index

  2. 15

    h-index

  3. Knowledge-Based Systems

    16 publications · 1K citations

    14

    h-index

  4. The Knowledge Engineering Review

    12 publications · 1.1K citations

    11

    h-index

  5. Artificial Intelligence

    9 publications · 866 citations

    9

    h-index

1–5