Published on in Vol 14, No 1 (2022):

The Representation of Causality and Causation with Ontologies: A Systematic Literature Review

The Representation of Causality and Causation with Ontologies: A Systematic Literature Review

The Representation of Causality and Causation with Ontologies: A Systematic Literature Review

Authors of this article:

Suhila Sawesi1 ;   Mohamed Rashrash2 ;   Olaf Dammann3
The full text of this article is available as a PDF download by clicking here.

Journals

  1. Baudrit C, Fernandez C, Couteaux J, Ndiaye A, Konys A. Electronic knowledge books (eK-Books) as a medium to capitalise on and transfer scientific, engineering, operational, technological and craft knowledge. PLOS ONE 2024;19(5):e0299150 View
  2. Durmaz A, Thomas A, Mishra L, Murthy R, Straub T. An ontology-based text mining dataset for extraction of process-structure-property entities. Scientific Data 2024;11(1) View
  3. Ren Y, Yen A, Li G. Self-labeling in multivariate causality and quantification for adaptive machine learning. Knowledge-Based Systems 2024;305:112595 View
  4. Ahmed H. Correlation and causation for cardiothoracic surgeons: part 4—distinguishing relationships in data. Indian Journal of Thoracic and Cardiovascular Surgery 2025;41(3):371 View
  5. Beverley J, Hurley R. A Path to Loving. SSRN Electronic Journal 2025 View

Books/Policy Documents

  1. Yamini P, Akanksha D, Vishwajit D. Encyclopedia of Religious Psychology and Behavior. View

Conference Proceedings

  1. Bilal M, Steindl G, Thoma M, Kastner W. 2024 International Conference on Computer and Applications (ICCA). A Methodology to Convert Tacit Knowledge into Explicit Knowledge - Smart Building Use Case View