Temporal Granularity

Temporal Granularity is a temporal knowledge representation construct that specifies the fineness or coarseness of the time intervals used to model and reason about temporal phenomena, thereby determining the resolution at which temporal events and relationships are distinguished.

193

Publications

8.9K

Citations

577

Authors

284

Institutions

Publications per year

2017–2026

77

Authors

577

  1. CC
    Carlo Combi

    University of Verona, Italy

    10 publications · 280 citations

    10

    h-index

  2. WP
    Witold Pedrycz

    University of Alberta, Canada

    10 publications · 578 citations

    10

    h-index

  3. CB
    Cláudio Bettini

    University of Milan, Italy

    10 publications · 585 citations

    10

    h-index

  4. AM
    Angelo Montanari

    University of Udine, Italy

    8 publications · 218 citations

    8

    h-index

  5. SJ
    Sushil Jajodia

    George Mason University, United States

    6 publications · 493 citations

    6

    h-index

1–5 of 577

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 308 citations

    8

    h-index

  2. 5

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  3. Information Sciences

    5 publications · 249 citations

    5

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 333 citations

    4

    h-index

  5. 4

    h-index

1–5