Earticle

초록

영어

Although some CASE tools supported conceptual data design, they required for users too much preliminary knowledge to learn how to use and handle them. In addition, in a number of studies on conceptual data design with natural language, they claimed passive participation for users with conforming to messages predefined by CASE tools. As an alternative to these traditional CASE tools, we proposed an ERD formulator for automated data design tool, called ERDF, so that even ordinary users, not necessarily data modeler, are capable of formulating ERD on business requirements by use of ERDF. We, first of all, introduced NSM as the standard methodology. We also designed the structure of ERDF including main controller, input controller, operation controller, regulation controller, schema controller, and output controller. We then defined conceptual domains and basic operations to lay down schema operations as well as sentence rules to handle input sentence in natural language. To get an ERD that is faithful to business requirements, we laid out supplementary design for dialogue and confirmation of soundness and completion.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Automated Design Tool
  3.1 ERDF as a CASE Tool
  3.2 The Structure of ERDF
  3.3 Design for Schema Operations
  3.4 Design for Sentence Rules
  3.5 Supplementary Design
 4. An Experiment for Designing ERD
  4.1 ERD Generation without RequirementFormulatio4.1 ERD Generation without Requirement Formulationn
  4.2 ERD Generation with Requirement Formulation
 5. Conclusions
 References

키워드

저자

• Sangwon Lee [ Enterprise Data Management Laboratorv Post-Doctorate Researcher. ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005