문화유산 데이터 분석 및 정보 시각화 방안 연구 -국립중앙박물관 e뮤지엄 데이터를 중심으로-

Abstract

This study analyzed the management and utilization of information on cultural heritage in the era of digital transformation of cultural heritage. As one of the cultural technology research and development projects, the Korea Creative Content Agency is conducting a Development of Intelligent Curation and Service Platform based Digital Asset for Immersive Cultural Heritage (CHIC project) with the Korea Electronics and Telecommunications Research Institute (ETRI), which develops intelligent curation technology utilizing e-museum data from the National Museum of Korea. This paper introduced the CHIC project and described it focusing on the analysis of the classes and properties of data and its visualization conducted by the National University of Cultural Heritage. First, Chapter 2 introduces the definition of digital curation ontology in order to confirm the direction of cultural heritage information management. This introduced CIDOC CRM and CIDOC CRMdig, which are representative cultural heritage ontology. Also, the scope of this study was limited by focusing on the activities of data access, use, and reuse during the life cycle of digital curation that Sarah Higgins argued in 2008 for the feasibility of the study. Chapter 3 describes the CHIC project, and as part of the development of intelligent analysis/search/visibility technology, the definitions of class and property about cultural heritage information data researched by the Korea National University of Cultural Heritage were proposed. The definitions were developed by referring to the existing ontology for the cultural heritage information model and were used to tag the e-museum relic description data of the National Museum of Korea. In Chapter 4, the work process for tagging classes and properties to e-museum data was adopted to CIDOC CRM, which was introduced in Chapter 2. Then, the operation method of the Annotation tool was introduced. Through this process, the process of the CHIC project was transparently disclosed, and it contributed to improving the reliability of the result. In addition, this paper briefly analyzed the results of e-museum data classified into classes and properties defined by the Korea National University of Cultural Heritage, and some data were visualized through Protégé, an ontological data management tool. Moreover, the example created through Protégé helped to propose the research direction of visualization for future study. To sum up, we would like to introduce a case of data access, use and reuse during the life cycle of digital curation. Thus, this study is significant in objectively describing a series of processes of providing information to end users by managing and reusing cultural heritage data of e-museum.