Earticle

초록

영어

With the widespread development of the Semantic Web, large-scale ontologies are being developed in more real-world applications to represent and integrate knowledge and data. There is an increasing need for measuring the cohesion of these ontologies for better understanding, maintenance, reuse and integration. The ontology cohesion metrics proposed in this paper can be used as a very useful complementarity of existing ontology cohesion metrics. Specifically, we first propose a set of evaluation metrics to measure the cohesion of ontologies based on directed acyclic graph. Following the framework for software measurement validation, we then evaluate the effectiveness of the proposed metrics theoretically. Finally, we conduct experiments using a set of classical ontologies; the results show that the proposed metrics are reasonable and effective.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Preliminaries
  3.1. Ontology and Ontology Module
  3.2. Ontology Hierarchy
  3.3. Cohesion Metrics and Validation Framework
 4. Ontology Cohesion Metrics
  4.1. Primitive Definitions
  4.2. Ontology Cohesion Metrics
 5. Theoretical Analysis and Validation of Ontology Cohesion Metrics
  5.1. Analysis of Coh
  5.2. Analysis of ADIT-LN
 6. Empirical Validation of Ontology Cohesion Metrics
 7. Conclusion
 References

키워드

저자

• Lili Liao [ College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, China ]
• Guohua Shen [ College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, China ]
• Zhiqiu Huang [ College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, China ]
• Fei Wang [ College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics, Nanjing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605