• DocumentCode
    2918673
  • Title

    Structure-Based Ontology Evaluation

  • Author

    Ning, Huang ; Shihan, DIAO

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    132
  • Lastpage
    137
  • Abstract
    In order to build high quality ontologies, ontology evaluation technologies are needed. Now, most evaluation methods focus on the syntax evaluation which guarantees the correctness and completeness of ontology. The primary goal of these evaluation methods is to prevent applications from using inconsistent or incorrect ontologies. During last few years, some studies pay attention to the common meaningful structures among ontologies, which are analogous to each other. However, fewer studies concentrate on the internal structure of the ontology. Ontology, as the representation of knowledge, should have similar structure with domain knowledge. Furthermore, the ontology with well-organized structure will make it easy to understand, learn, apply, and reuse. Therefore, based on the statistics and the graph theory, this paper puts forward an improved ontology evaluation method, in which six properties are proposed to describe the characteristics of ontology structure. After discussing the algorithm of these six properties, we introduce an ontology development tool, in which the evaluation method has been integrated. This tool supports the entire ontology development process, and can help ontology developers refine the structure of ontology, and easily make a decision that which aspect of the ontology should be revised or improved
  • Keywords
    graph theory; ontologies (artificial intelligence); statistics; domain knowledge; graph theory; knowledge representation; ontology structure evaluation; statistics; Application software; Buildings; Computer science; Graph theory; Knowledge engineering; Ontologies; Semantic Web; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2006. ICEBE '06. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7695-2645-4
  • Type

    conf

  • DOI
    10.1109/ICEBE.2006.97
  • Filename
    4031643