This study is aimed to provide fundamental data for expanding the scope and dimensions of Sino words research, and to secure a comprehensive perspective that encompasses the ancient, modern and dialect forms of Sino words in Korean, Chinese, Japanese, and Vietnamese. In order to achieve this goal, it is necessary to construct the wide-ranging, multi-dimensional database with maximum coverage, and this study was planned to explore specific ways to realize this. East Asian languages have exchanged cultural and linguistic influences through Chinese characters for thousands of years. Therefore, the study of Sino words requires a radial and reticular approach that can closely connect their complex historical and regional layers. However, the previous researches have revealed limitations such as inadequate examination of major languages, inappropriate use of materials, or inability to analyze rich linguistic features that exist in various dialects within Chinese or differences in words between North and South Korean. To overcome these limitations, this study confirms the need for a database that can comprehensively examine Sino words in the four languages of Korean, Chinese, Japanese, and Vietnamese, without distinguishing between base and surface forms, and encompassing all morphological forms with Chinese character elements. This database should include both archaic and contemporary, or even modern new words, as well as various dialectical forms in North and South Korea and different regions of China. To be utilized effectively in research, it should also include information on usage frequency and educational vocabulary levels, enabling the confirmation of the status of a word in contemporary language. Rather than providing definitive information like a dictionary, it is more useful to provide supplementary information such as the reference and literature, increasing the accessibility of materials for researchers and increasing the possibility of implementing the database. In response to the aforementioned need, this paper proposes the construction of a relational database consisting of 12 entity tables and presents specific procedures and methods for implementing it. Despite the difficulties of constructing a relational database for vast amounts of data and the burden on servers, we expect that a wide-ranging, multi-dimensional database of East Asian Sino words will contribute to existing research on Chinese characters, as well as vocabulary and concept research and education.

본 연구에서는 1990~2005년 사이에 일본전국의 109개의 주요하천유역에서 조사된 어류, 식물, 조류 데이터를 이용하여, 각 생물종의 종수와 기후 및 지형의 환경인자와의 관계를 분석하고 모델링을 수행하였다. 그 결과, 어류, 식물, 조류의 분포는 각각 연평균 기온, 유역면적, 연간 강수량에 의해서 가장 많은 부분이 설명되었다. 또한, 광범위 스케일에서의 환경인자데이터를 이용한 각 생물종에 대한 일반화가법모델을 이용하여 일본전국의 하천유역의 각 생물 종수의 값을 예측하고 그 값을 지도화하였다. 예측값을 지도화하는 것은 관리자가 생물종의 다양성을 확보하기 위해서 보호해야할 지역을 새롭게 설정하거나, 생물다양성 보호지역의 유효성을 평가하는데 활용될 수 있다.