@article{3624,
  author = {Maziar Amirhosseini},
  title = {Metric Evaluation in Structural Analysis of Ontologies based on Information Quantum},
  journal = {International Journal of Computational Linguistics Research},
  year = {2022},
  volume = {13},
  number = {4},
  doi = {https://doi.org/10.6025/jcl/2022/13/4/88-93},
  url = {https://www.dline.info/jcl/fulltext/v13n4/jclv13n4_2.pdf},
  abstract = {The following article attempts to clarify knowledge quanta in knowledge systems and semantic networks to propose information quanta as a novel context in the structural analysis of ontologies, which could be utilized as a basis for developing ontology evaluation metrics and measures. Identifying information quanta in ontologies could play an influential role in establishing and creating a new context in the structural analysis of ontologies by proposing, developing, and applying new metrics and criteria for measurement of the mentioned quantum elements (i.e., ontology data). Identifying information quantum in knowledge organization systems (KOS), especially ontologies, needs to rely on some theoretical foundations to facilitate the explanation of the subject. Here, two fundamental theories of the knowledge quanta, the Quantum Theory of Knowledge (QTK) created by Burgin (1995; 1997; 2004) and the Semantic Link Network Theory (SLNT) developed by Zhuge (2004; 2010; 2012), are explained to shine a light on information quantum in ontologies.},
}