Point-based Time Models

Point-Based Time Models is a temporal knowledge representation framework that formalizes time as a set of indivisible instants, distinguishing itself by grounding temporal relationships and events at discrete points rather than intervals or durations.

17

Publications

680

Citations

36

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

36

  1. PJ
    Patrick J. Hayes

    Florida Institute for Human and Machine Cognition, United States

    2 publications · 186 citations

    2

    h-index

  2. RW
    Rattana Wetprasit

    Prince of Songkla University, Thailand

    2 publications · 38 citations

    2

    h-index

  3. AS
    Abdul Sattar

    Griffith University, Australia

    2 publications · 38 citations

    2

    h-index

  4. JM
    Jixin Ma

    University of Greenwich, United Kingdom

    2 publications · 45 citations

    2

    h-index

  5. IN
    Isabel Navarrete

    Universidad de Murcia, Spain

    2 publications · 39 citations

    2

    h-index

1–5 of 36

Venues

  1. Artificial Intelligence

    3 publications · 39 citations

    3

    h-index

  2. The Computer Journal

    3 publications · 118 citations

    3

    h-index

  3. International Joint Conference on Artificial Intelligence

    Conference · 1 publications · 24 citations

    1

    h-index

  4. Computational Intelligence

    1 publications · 166 citations

    1

    h-index

  5. Eye

    1 publications · 24 citations

    1

    h-index

1–5