Semantic Context Modeling

Semantic Context Modeling is a formal framework that represents and organizes contextual information by capturing the meaning and relationships among entities, activities, and environments, distinguished from other context modeling approaches through its reliance on semantic reasoning and ontological structures to enable higher-level interpretation and adaptation in context-aware systems.

318

Publications

18.6K

Citations

1.1K

Authors

388

Institutions

Publications per year

2017–2026

124

Variants

Semantic Context Representation

Authors

1.1K

  1. CN
    Chong‐Wah Ngo

    City University of Hong Kong, Hong Kong SAR China

    5 publications · 307 citations

    5

    h-index

  2. HL
    Huchuan Lu

    Dalian University of Technology, China

    4 publications · 369 citations

    4

    h-index

  3. BG
    Bernard Ghanem

    King Abdullah University of Science and Technology, Saudi Arabia

    3 publications · 594 citations

    3

    h-index

  4. ME
    Massimo Esposito

    Institute for High Performance Computing and Networking, Italy

    3 publications · 71 citations

    3

    h-index

  5. FL
    Freddy Lécué

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 68 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 583 citations

    15

    h-index

  2. IEEE Transactions on Image Processing

    9 publications · 504 citations

    9

    h-index

  3. IEEE Access

    7 publications · 155 citations

    7

    h-index

  4. Multimedia Tools and Applications

    6 publications · 130 citations

    6

    h-index

  5. IEEE Transactions on Multimedia

    6 publications · 477 citations

    6

    h-index

1–5