Soft Computing

, Volume 21, Issue 20, pp 6105–6119 | Cite as

Development supporting framework of architectural descriptions using heavy-weight ontologies with fuzzy-semantic similarity

  • Mye Sohn
  • Sunghwan Jeong
  • Taehoon Kim
  • Hyun Jung Lee
Methodologies and Application

Abstract

This paper proposes a framework to support the development of architectural descriptions that have DM2-compliance data and are constructed and integrated under considering of the consistency between views as components of the viewpoints with different perspectives of the system. To do so, we developed two heavy-weight ontologies: DM2 Data Dictionary ontology containing whole things of DoDAF DM2 terms such as the definitions, aliases, and mapping relations to DoDAF Models and architectural description ontology expresses all outcomes of efforts to develop the architectural descriptions in a case structure. Based on the ontologies, our framework implements a fuzzy-semantic similarity measure to identify the appropriate views using case-based reasoning to meet the goal as a solution of the architecture to solve a problem. Furthermore, we performed data validation to check the DM2 compliance based on DM2 Data Dictionary ontology. To verify the superiority of our framework, we perform the three kinds of evaluations. First, we evaluate the effectiveness of the fuzzy-semantic similarity measure. Second, we verify the completeness of relationships of the data entities and attributes required to develop the architectural descriptions. Finally, we show the performance of the DM2 Data Dictionary ontology from a DM2 compliance. As a result, the experimental results verified the effectiveness and superiority of the proposed framework.

Keywords

Fuzzy-semantic similarity measure  Heavy-weight ontology DoDAF Meta-Model (DM2) Case-based reasoning Views 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Mye Sohn
    • 1
  • Sunghwan Jeong
    • 1
  • Taehoon Kim
    • 1
  • Hyun Jung Lee
    • 2
  1. 1.Department of Industrial EngineeringSungkyunkwan UniversitySuwonKorea
  2. 2.School of Integrated Technology, Yonsei Institute of Convergence TechnologyYonsei UniversityIncheonKorea

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