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객체-관계 변환 방법론 기반 메타데이터 레지스트리 데이터베이스 설계
차수영(Sooyoung Cha),이석훈(Sukhoon Lee),정동원(Dongwon Jeong),백두권(Doo-Kwon Baik) Korean Institute of Information Scientists and Eng 2015 정보과학회논문지 Vol.42 No.9
The ISO/IEC 11179 Metadata registry (MDR) is an international standard that was developed to register and share metadata. ISO/IEC 11179 represents an MDR as a metamodel that is an object model. However, it is difficult to develop an MDR based on ISO/IEC 11179 because the standard has no clear criteria to transform the metamodel into a database. In this paper, we suggest the design of an MDR data model that is based on object-relational transformation methodology (ORTM) for the MDR implementation. Hence, we classify the transformation methods of ORTM according to the corresponding relationships. After classification, we propose modeling rules by defining the standard use of the transformation. This paper builds the relational database tables as an implementation result of an MDR data model. Through experiments and evaluation, we verify the proposed modeling rules and evaluate the suitability of the created table structures. As the result, the proposed method shows that the table structures preserve classes and relationships of the standard metamodel well.
객체-관계 변환 방법론을 위한 이진 결정 다이어그램 기반의 모델링 규칙
차수영(Sooyoung Cha),이석훈(Sukhoon Lee),백두권(Doo-Kwon Baik) Korean Institute of Information Scientists and Eng 2015 정보과학회논문지 Vol.42 No.11
In order to design a system, software developers use an object model such as the UML class diagram. Object-Relational Transformation Methodology (ORTM) is a methodology to transform the relationships that are expressed in the object model into relational database tables, and it is applied for the implementation of the designed system. Previous ORTM studies have suggested a number of transformation methods to represent one relationship. However, there is an implementation problem that is difficult to apply because the usage criteria for each transformation method do not exist. Therefore, this paper proposes a binary decision diagram-based modeling rule for each relationship. Hence, we define the conditions for distinguishing the transformation methods. By measuring the query execution time, we also evaluate the modeling rules that are required for the verification. After evaluation, we re-define the final modeling rules which are represented by propositional logic, and show that our proposed modeling rules are useful for the implementation of the designed system through a case study.