Knowledge Ontology Development

Knowledge Ontology Development is a formal systematic process that belongs to the class of knowledge representation methods, specifically involving the design and construction of a structured, domain-specific framework of concepts, relationships, and rules to enable precise semantic representation, integration, and reasoning over knowledge assets.

325

Publications

10.5K

Citations

1.1K

Authors

503

Institutions

Publications per year

2017–2026

100

Authors

1.1K

  1. CS
    Craig Schlenoff

    National Institute of Standards and Technology, United States

    5 publications · 249 citations

    5

    h-index

  2. AN
    Ailbhe N. Finnerty

    University College London, United Kingdom

    3 publications · 145 citations

    3

    h-index

  3. RC
    Rung-Ching Chen

    Chaoyang University of Technology, Taiwan

    3 publications · 79 citations

    3

    h-index

  4. PG
    Paulo Gonçalves

    Polytechnic Institute of Castelo Branco, Portugal

    3 publications · 197 citations

    3

    h-index

  5. CV
    Charles V. Trappey

    National Yang Ming Chiao Tung University, Taiwan

    3 publications · 56 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Journal of Biomedical Semantics

    JBMS · 7 publications · 227 citations

    7

    h-index

  2. Procedia Computer Science

    5 publications · 96 citations

    5

    h-index

  3. International Journal of Production Research

    4 publications · 109 citations

    4

    h-index

  4. Expert Systems with Applications

    4 publications · 183 citations

    4

    h-index

  5. IEEE Access

    3 publications · 82 citations

    3

    h-index

1–5