Ontology-based Analytics

Ontology-Based Analytics is a methodological framework within IoT Analytics that integrates formal ontologies to enable semantic interoperability, knowledge representation, and context-aware data interpretation for enhanced analytical reasoning across heterogeneous IoT systems.

70

Publications

2.1K

Citations

287

Authors

141

Institutions

Publications per year

2017–2026

39

Authors

287

  1. EK
    Evgeny Kharlamov

    University of Oslo, Norway

    4 publications · 125 citations

    4

    h-index

  2. CC
    Carlos C. Insaurralde

    Heriot-Watt University, United Kingdom

    4 publications · 76 citations

    4

    h-index

  3. EB
    Erik Blasch

    United States Air Force Research Laboratory, United States

    4 publications · 76 citations

    4

    h-index

  4. AS
    Ahmet Soylu

    Norwegian University of Science and Technology, Norway

    3 publications · 103 citations

    3

    h-index

  5. EJ
    Ernesto Jiménez-Ruiz

    University of Oxford, United Kingdom

    3 publications · 103 citations

    3

    h-index

1–5 of 287

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 2 publications · 51 citations

    2

    h-index

  2. Procedia Computer Science

    2 publications · 63 citations

    2

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 194 citations

    1

    h-index

  4. Services Transactions on Big Data

    IJBD · 1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5