한국불교문화포털 데이터베이스 구조 검토 및 확장 방안 연구

Abstract

This study aims to analyze the current database structure of the Korean Buddhist Culture Portal and propose an improvement plan through the construction of a Relational Database (RDB). At present, the portal primarily delivers information through static, text-oriented content centered on article entries and Buddhist terminology, supplemented by various reference materials. While this structure is effective in conveying the content of individual articles, it lacks the ability to explicitly express relationships among data entities or to enable machine-readable semantic processing. As a solution, this paper suggests a complementary system in which the existing article-based content service and a newly constructed RDB framework operate in an integrated and mutually supportive manner. To achieve this, we define key data types—such as individuals, places, and texts—embedded within articles and propose a method to represent their interrelationships. Based on this structure, a knowledge network can be developed to enhance data connectivity, user navigation, and the overall utility of the portal for digital applications. The study further explores technical methodologies, including ontology- based design and RDF (Resource Description Framework) modeling, and constructs a sample dataset to demonstrate feasibility. Through this integrated approach, the portal can evolve not only as a public platform for disseminating knowledge on Korean Buddhism but also as a foundational resource for future digital Buddhist studies and humanities research.