Ontology Analysis on Complexity and Evolution Based on Conceptual Model

  • Zhe Yang
  • Dalu Zhang
  • Chuan Ye
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4075)


With the tremendous development in size, the complexity of ontology increases. Thus ontology evaluation becomes extremely important for developers to determine the fundamental characteristics of ontologies in order to improve the quality, estimate cost and reduce future maintenance. Our research examines the concepts and their hierarchy in ontology conceptual model, the common feature of most ontologies, which reflects the fundamental complexity. We suggest some well-defined metrics of complexity, which mainly examine the quantity, ratio and correlativity of concepts and relationships, to evaluate ontology from the viewpoint of complexity and evolution. In the study, we measured three ontologies in Gene Ontology to verify our metrics. The results indicate that these metrics works well, and the biological process ontology is the most complex one from the view of complexity, and the molecular function ontology is the unsteadiest one from the view of evolution.


Gene Ontology Directed Acyclic Graph Class Diagram Average Path Length Ontology Evolution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhe Yang
    • 1
  • Dalu Zhang
    • 1
  • Chuan Ye
    • 1
  1. 1.Department of Computer Science and TechnologyTongji UniversityShanghaiP.R.C

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