원문정보
초록
영어
In the field of science and technology, a lot of research has recently been done for collecting and analyzing information, for example, examination of global research trend, detection of emerging signals and searching for leading researchers from science and technology literature [1]. Since the science and technology literature information collected for the analysis has been produced for the purpose of each information source, the information is differently constructed and expressed [1, 2]. Therefore, it is necessary to integrate and manage the different information with the same structure and expression format [3]. To this end in this study, examination is made of methods of standardizing the data processing process and data format, and of implementing interoperability of data in different format. Examination is also made of a method of semi-automation through machine learning for even more automated data management. It is expected this study will contribute to improving integration of heterogeneous databases and efficient and easy management of contents in different fields and domains.
목차
1. Introduction
2. Systematic Content Management Using e-Tracer
2.1. Analysis on Ingested Contents Format
2.2. Definition of Standardized Content Format
2.3. Integration of Heterogeneous Contents
3. Systematic Contents Management
3.1. Unification of Contents Management Process
3.2. Automation on Pre-Process
3.3. Automation on Mapping among Topic Classification Codes
4. Conclusions
References