Temporal Knowledge Modeling

Temporal Knowledge Modeling is a computational framework that extends static knowledge representations by explicitly incorporating time-dependent dynamics to model the evolution, validity, and causality of facts in knowledge bases over temporal intervals.

178

Publications

7.6K

Citations

508

Authors

217

Institutions

Publications per year

2017–2026

72

Authors

508

  1. YS
    Yuval Shaḥar

    Ben-Gurion University of the Negev, Israel

    7 publications · 180 citations

    7

    h-index

  2. LB
    Luyi Bai

    Northeastern University, China

    6 publications · 223 citations

    6

    h-index

  3. GF
    Gregory F. Cooper

    University of Pittsburgh, United States

    4 publications · 75 citations

    4

    h-index

  4. CA
    Constantin Aliferis

    Vanderbilt University, United States

    4 publications · 75 citations

    4

    h-index

  5. LC
    Luís C. Lamb

    Universidade Federal do Rio Grande do Sul, Brazil

    3 publications · 80 citations

    3

    h-index

1–5 of 508

Venues

  1. Expert Systems with Applications

    5 publications · 152 citations

    5

    h-index

  2. Knowledge-Based Systems

    4 publications · 142 citations

    5

    h-index

  3. Applied Intelligence

    3 publications · 76 citations

    4

    h-index

  4. Journal of Intelligent Information Systems

    3 publications · 42 citations

    4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 472 citations

    4

    h-index

1–5