Context Inference

Context Inference is a computational process within context-aware systems that derives higher-level contextual knowledge from raw or lower-level contextual data through analytical models, distinguishing it from mere data collection or aggregation by its focus on interpretation and meaning extraction.

113

Publications

4.7K

Citations

371

Authors

172

Institutions

Publications per year

2017–2026

26

Authors

371

  1. CA
    Christos Anagnostopoulos

    University of Glasgow, United Kingdom

    3 publications · 51 citations

    3

    h-index

  2. CC
    Chang Choi

    Chosun University, South Korea

    3 publications · 176 citations

    3

    h-index

  3. JC
    Junho Choi

    Chosun University, South Korea

    3 publications · 176 citations

    3

    h-index

  4. JL
    Juanzi Li

    Tsinghua University, China

    2 publications · 112 citations

    2

    h-index

  5. DW
    Dirk Westhoff

    NEC (Germany), Germany

    2 publications · 176 citations

    2

    h-index

1–5 of 371

Venues

  1. Sensors

    3 publications · 62 citations

    3

    h-index

  2. IEEE Access

    2 publications · 108 citations

    2

    h-index

  3. IEEE Communications Magazine

    2 publications · 104 citations

    2

    h-index

  4. 2

    h-index

  5. Knowledge and Information Systems

    2 publications · 70 citations

    2

    h-index

1–5