『尙書古訓』과 『尙書古注』 연계 시맨틱 데이터 프로세싱 1 : XML 데이터 설계 및 편찬

Abstract

This paper aims to comprehensively explore the feasibility of data processing methodologies for Confucian classics, examining the academic significance of its processes and outcomes. The two texts, Sangseogohun(尙書古訓) and Sangseogoju(尙書古注), which reflect the scholarly debates on Confucian classics between Dasan Jeong Yakyong(丁若鏞) and Seokcheon Shin Jak(申綽), represent pivotal works in the study of the Sangseo(尙書) from the late Chosŏn Dynasty. These works embody the efforts of both scholars to restore the original form of the Sangseo and elucidate its intrinsic meaning, utilizing textual-evidential bibliographical methods. Distinctively, these two texts incorporate research results spanning from the pre-Qin period to the Qing Dynasty’s evidential studies, each reflecting the exegetical approach rooted in Dasan and Seokcheon’s respective perspectives on Confucian classics. This paper aims to design a refined data model that considers the unique characteristics of each text while establishing a shared interpretive framework that encompasses both sources. Toward this objective, this study employs a semantic data processing methodology, focusing on meaning system within the digital humanities. The data processing tasks are structured in three stages: ① XML data design and compilation, ② Ontology design and data parsing, ③ Knowledge Graph demonstration and data analysis. This paper specifically addresses the first stage, discussing the necessity of XML-based data design and foundational data construction, while organazing the major challenges encountered in designing and compiling XML data for the two Confucian texts, Sangseogohun and Sangseogoju. Based on the bibliographic·structural features and key information of these texts, the XML structure is designed around four core elements: ① Original Element, ② Annotative Element, ③ Contextual Element, ④ Interpretative Element, with each element defined in detail. The compiled XML document acts as foundational data for semantic data processing. By integrating ontology through XML Schema, it adds contextual meaning to the data. This approach provides a primary step in representing and analyzing the multilayered knowledge networks inherent in Confucian texts, illustrating how Confucian classics research can be facilitated and verified within a digital environment. The implications of this approach are significant, offering a clear framework for digital scholarship in classical studies.