The objective of this research is to present methodologies on how to archive and utilize relational data on institutional systems and personnel management. To this end, a comprehensive analysis of data of Korea’s public schools in modern era(1895-19...
The objective of this research is to present methodologies on how to archive and utilize relational data on institutional systems and personnel management. To this end, a comprehensive analysis of data of Korea’s public schools in modern era(1895-1910) and historical research of the period were conducted, followed by the design and verification of an ontology and data modeling. Finally, a visualization model and a digital humanities research model are introduced.
To archive relational data on institutional systems and personnel management, relevant records from public schools in the late Joseon period were analyzed. Based on the findings, an ontology to serve as the archive’s framework was designed. In particular, all institutional systems and personnel management records were analyzed one-by-one, to build an ontology through a bottom-up process that fully reflects the actual historical records.
In the process, a set of “academic essential elements” that incorporates the characteristics of humanities research is presented for building an ontology in the field of cultural informatics. This enables the accommodation of results from different researchers’ varying judgments on the same subject in data form. In addition, the concept of “inference” is proposed, previously neglected in humanities research. This concept provides a foundation for continued research based on approximate values, even when a subject cannot be precisely determined. Furthermore, an ontology model for an “event” in humanities information is introduced. Specifically, an “event” -comprehensive knowledge information in humanities is defined as a before-and-after concept, centered around a specified time and resembling the digital format as much as possible.
To increase the applicability of relational data on institutional systems and personnel management, methods to apply the built ontology to various data models are described. The models include an RDF (Resource Description Framework) model, capable of implementing semantic web based on the same ontology, and an XML (Extensible Markup Language) model, designed to be capable of adding event information to an existing digital archive.
Finally, to promote the utilization of the completed institutional systems and personnel management archive in humanities research, visualization methodologies and a digital humanities research model are presented. First, different ways of visualizing institutional systems and personnel management - in both paper and digital media -were examined, followed by an analysis of their strengths and weaknesses. Based on the results, information-delivery visualization models capable of delivering data effectively, as well as block-assemblage type visualization (a data access type visualization model based on the representation of query language) were introduced. For information-delivery visualization, table-type, system-type, statistics-type, time table-type, network-type, and spatial information-type were proposed. For data-access visualization, subject, connection, source, conditions, output block, and methodologies to combine them were proposed. Lastly, a digital humanites research model utilizing the institutional systems and personnel management archive, two models are presented. The “Dismissal at One’s Own Request and Job Transfer” Model focuses on analysis of data, whereas the “Study of Individuals” Model focuses on examining individuals.