Composite Event Representation

Composite Event Representation is a scholarly contribution in the domain of event representation that integrates multiple primitive events into a unified structure to capture complex, higher-order event patterns through explicit modeling of their temporal, causal, or hierarchical relationships.

65

Publications

3.7K

Citations

161

Authors

81

Institutions

Publications per year

2017–2026

8

Authors

161

  1. JB
    Jean Bacon

    University of Cambridge, United Kingdom

    4 publications · 244 citations

    4

    h-index

  2. AA
    Alexander Artikis

    National Centre of Scientific Research "Demokritos", Greece

    4 publications · 112 citations

    4

    h-index

  3. AK
    Aloysius K. Mok

    The University of Texas at Austin, United States

    4 publications · 191 citations

    4

    h-index

  4. GL
    Guangtian Liu

    China Agricultural University, China

    3 publications · 84 citations

    3

    h-index

  5. KM
    Ken Moody

    University of Cambridge, United Kingdom

    3 publications · 117 citations

    3

    h-index

1–5 of 161

Venues

  1. Epidemiology

    2 publications · 62 citations

    2

    h-index

  2. Very Large Data Bases

    Conference · 2 publications · 774 citations

    2

    h-index

  3. Knowledge and Information Systems

    1 publications · 22 citations

    1

    h-index

  4. ZDM

    1 publications · 23 citations

    1

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 29 citations

    1

    h-index

1–5