Earticle

효과적인 데이터 분석 및 활용을 위해서는 빅 데이터를 내부 데이터와 유연하게 연계할 수 있는 방안이 필요하다. 빅 데이터 분석 정보를 내부 정보시스템과 연계시키기 위한 방안으로서 본 연구는 다차원 이벤트 온톨리지를 제시하였다. 이를 위해서 먼저 빅 데이터 분석 정보를 이벤트 모형을 사용하여 온톨리지로 표현하고, 다차원 데이터베이스 또한 OWL-DL 온톨리지로 변환하여 표현하였다. 다차원 이벤트 온톨리지에서 빅 데이터 분석정보들은 차원 계층구조를 통하여 다차원 데이터베이스에 저장된 모든 개체들에게 공유되는데, 본 연구에서는 이를 이벤트의 하향공유, 상향 공유 및 복합 이벤트 공유로 구분한다. 이들 정보공유 유형별로 빅 데이터 분석 정보의 공유 및 활용 방안들을 제시하였으며, Protege를 사용하여 시험적으로 구현하였다. 본 연구는 외부의 빅 데이터 분석 정보를 내부의 다차원 데이터베이스와 연계하는 방안 을 실험적으로 제시하였다는 점에서 의의를 가진다고 할 수 있다.

As external data have become important corporate information resources, there are growing needs to combine them with internal data. This paper proposes an ontology-based scheme to combine external data with multi-dimensional databases, which shall be called multi-dimensional event ontology. In the ontology, external data are represented as events. Event characteristics such as actors, places, times, targets are linked to dimensions of a multi-dimensional database. By mapping event characteristics to database dimensions, external event data are shared via multi-dimensional hierarchies. This paper proposes rules to synchronize information sharing in multi-dimensional event ontology such as upward event information sharing, downward event information sharing and complex event information sharing. These rules are implemented using Protege. This study has a value in suggesting Big Data information sharing processes using an event database framework.

We present a multi-dimensional reduction method of the surveyed cube database obtained using a single- dish radio telescope in Taeduk Radio Astronomy Observatory (TRAO). The multibeam receiver system installed at the 14 m telescope in TRAO was not optimized at the initial stage, though it became more stabilized in the following season. We conducted a Galactic Plane survey using the multibeam receiver system. We show that the noise level of the first part of the survey was higher than expected, and a special reduction process seemed to be definitely required. Along with a brief review of classical methods, a multi-dimensional method of reduction is introduced; It is found that the 'background' task within IRAF (Image Reduction and Analysis Facility) can be applied to all three directions of the cube database. Various statistics of reduction results is tested using several IRAF tasks. The rms value of raw survey data is 0.241 K, and after primitive baseline subtraction and elimination of bad channel sections, the rms value turned out to be 0.210 K. After the one-dimensional reduction using 'background' task, the rms value is estimated to be 0.176 K. The average rms of the final reduced image is 0.137 K. Thus, the image quality is found to be improved about 43% using the new reduction method.

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.