Rule-based Ontologies

Rule-Based Ontologies is a formal knowledge representation framework that consists of a structured set of declarative rules and logical axioms used to define, constrain, and infer relationships among entities within a domain, distinguished by its reliance on explicit rule-based reasoning to specify semantic hierarchies and conceptual classifications.

196

Publications

6.7K

Citations

560

Authors

239

Institutions

Publications per year

2017–2026

35

Authors

560

  1. MJ
    Martin J. O’Connor

    Stanford University, United States

    5 publications · 93 citations

    5

    h-index

  2. AP
    Axel Polleres

    Ollscoil na Gaillimhe – University of Galway, Ireland

    4 publications · 326 citations

    4

    h-index

  3. MA
    Mark A. Musen

    Stanford University, United States

    4 publications · 74 citations

    4

    h-index

  4. GG
    Georg Gottlob

    TU Wien, Austria

    4 publications · 742 citations

    4

    h-index

  5. BN
    Benjamin N. Grosof

    Massachusetts Institute of Technology, United States

    4 publications · 245 citations

    4

    h-index

1–5 of 560

Venues

  1. OWL: Experiences and Directions

    Conference · 4 publications · 92 citations

    4

    h-index

  2. Expert Systems with Applications

    4 publications · 147 citations

    4

    h-index

  3. Journal of Web Semantics

    4 publications · 499 citations

    4

    h-index

  4. 4

    h-index

  5. International Journal on Semantic Web and Information Systems

    IJSWIS · 3 publications · 166 citations

    3

    h-index

1–5