Event Abstraction

Event Abstraction is an academic construct that, as a conceptual framework, identifies and distills the essential properties and relational structures of events while suppressing irrelevant details, thereby enabling higher-level reasoning and generalization within event representation.

44

Publications

2K

Citations

110

Authors

55

Institutions

Publications per year

2017–2026

12

Authors

110

  1. RM
    Robert Morris

    Massachusetts Institute of Technology, United States

    3 publications · 600 citations

    3

    h-index

  2. DM
    David Mazières

    Stanford University, United States

    3 publications · 600 citations

    3

    h-index

  3. EK
    Eddie Kohler

    University of California, Los Angeles, United States

    3 publications · 600 citations

    3

    h-index

  4. FK
    Frans Kaashoek

    Massachusetts Institute of Technology, United States

    3 publications · 600 citations

    3

    h-index

  5. SV
    Steve VanDeBogart

    UCLA Health, United States

    3 publications · 600 citations

    3

    h-index

1–5 of 110

Venues

  1. Fusion Technology

    1 publications · 11 citations

    1

    h-index

  2. Sociological Methodology

    1 publications · 81 citations

    1

    h-index

  3. 1

    h-index

  4. Granular Computing

    1 publications · 165 citations

    1

    h-index

  5. SIMULATION

    1 publications · 71 citations

    1

    h-index

1–5