Earticle

초록

영어

Data provide the inputs to systems used to understand, explain, manage, regulate, and predict the world in which we live. A basic question in studying data is, What are data? What are and are not data, and how do data become information? Exploring a conception of data is fundamentally a philosophical problem and also an important issue in the area of database design. A firm understanding of the nature of the data being modeled enhances the process of modeling reality, and it helps in establishing a mental map of the computerized domain. This paper proposes a basic definition of data as interpreted things that flow. This definition is used in building structured data (e.g., tuples, tables) that form the foundation of database systems. The notion of things that flow is a concept based on a flow-based modeling language established on machines (extension of the input-process-output model) that create, process, release, transfer, and receive these things that flow. The study uses the proposed basic definition of data to build structured data, hence, applying the definition in constructing a data-based description of particular aspects of database systems.

목차

Abstract
 1. Introduction
 2. Sample Approach to Defining Data
 3. Machines of Things that Flow
 4. Examples: Sense-Data
  4.1. Source of Sense-Data
  4.2. Simple and Complex Data
  4.3. Judgment and Complex Data
  4.4. Perceiving Complex Objects
  4.5. Post-abandonment Doctrine
 5. What are Data? Current Definition from the FM Perspective
 6. Application to Some Relational Database Structures
 8. Conclusion
 References

키워드

저자

• Sabah Al-Fedaghi [ Computer Engineering Department, Kuwait University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605