원문정보
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
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