Temporal Inference

Temporal Inference is a computational reasoning process within temporal knowledge representation that derives implicit temporal relationships or facts from explicitly stated temporal data by leveraging formal models of time, thereby extending the temporal knowledge base through logical deduction.

241

Publications

13.7K

Citations

622

Authors

259

Institutions

Publications per year

2017–2026

82

Authors

622

  1. ZX
    Zhe Xu

    The University of Texas at Austin, United States

    7 publications · 232 citations

    7

    h-index

  2. AA
    A. Agung Julius

    Rensselaer Polytechnic Institute, United States

    6 publications · 186 citations

    6

    h-index

  3. YS
    Yuval Shaḥar

    Ben-Gurion University of the Negev, Israel

    5 publications · 580 citations

    5

    h-index

  4. TD
    Thomas Dean

    Brown University, United States

    5 publications · 1.3K citations

    5

    h-index

  5. PN
    P. N. Johnson‐Laird

    Princeton University, United States

    4 publications · 371 citations

    4

    h-index

1–5 of 622

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 273 citations

    10

    h-index

  2. Artificial Intelligence

    8 publications · 790 citations

    8

    h-index

  3. National Conference on Artificial Intelligence

    Conference · 6 publications · 445 citations

    6

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 425 citations

    6

    h-index

  5. Knowledge-Based Systems

    4 publications · 139 citations

    4

    h-index

1–5