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Design of Lake Ecological Observation Data Management
Ahn, Bu-Young,Jung, Young-Jin,Lee, Myung-Sun,Jeong, Choong-Kyo,Kim, Bom-Chul The Korea Contents Association 2011 International Journal of Contents Vol.7 No.1
To protect water pollution and scarcity in lake and river, water quality monitoring applications have become important tools to understand the change of aquatic ecosystem. KLEON (Korean Lake Ecological Observatory Network) is designed to manage and share the ecological observations. The various kinds of water quality and phytoplankton observations are collected from the selected observatories such as seven lakes/rivers/wetlands. To deeply understand the collected observations with weather, KLEON also manages the observatory information such as lake, dam, floodgate, and weather. The accumulated observation and analyzed results are used to improve the water quality index of the observatories and encourage the ecologists' cooperation.
A Study for link method among heterogeneous contents by Genbank reference field analysis
Bu Young Ahn,Chung Shick Oh,Ji Young Kim,Myung Sun Lee 한국콘텐츠학회 2009 ICCC International Digital Design Invitation Exhib Vol.2009 No.12
With the recent, rapid development of molecular biology and the completion of the Human Genome Project in 2001, a vast amount of genetic information has been uncovered worldwide. As information on gene sequences is not only diverse but also extremely huge in volume, high-performance computer and information technology techniques are required to build and analyze gene sequence databases. This has given rise to the discipline of bioinformatics, a field of research where computers are utilized to collect, to manage, to save, to evaluate, and to analyze biological data. In line with such continued development in bioinformatics, the Korea Institute of Science and Technology Information (KISTI) has built an infrastructure for the biological information, based on the information technology, and provided the information for researchers of bioscience. This paper analyzes the reference fields of Genbank; the most frequently used gene database by the global researchers among the life information databases, and proposes the interface method to NDSL (http://NDSL.kr) which is the science and technology information integrated service provided by KISTI. For these, followings are made; 1) Genbank data are collected from NCBI FTP site; 2) The database is rebuilt by separating Genbank text files into the basic gene data and the reference data; 3) New tables are generated through extracting the paper information and patent information from Genbank reference fields; 4) Interfaces to the paper database (http://scholar.ndsl.kr) and the patent database (http://patent.ndsl.kr) operated by KISTI are suggested.
Bu Young Ahn,Chung Shick Oh,Ji Young Kim,Myung Sun Lee 한국콘텐츠학회 2009 ICCC International Digital Design Invitation Exhib Vol.2009 No.12
Researchers in Korea and elsewhere have carried out a wide variety of important research activities in their respective fields, producing valuable research results. The types of such results vary significantly, including the articles published in academic journals or presented in symposiums, research reports, patents, research notes, seminar presentations, school materials, and articles in newspapers or magazines. For such diverse research results to be shared and exchanged among researchers working in the same discipline and research subject there needs to be a community environment based on free utilization of information. Against this backdrop, this study seeks to classify and reprocess the reference/factual content owned by the Korea Institute of Science and Technology Information (KISTI), a state-run distributor of information on science and technology, by the different research subjects. It also seeks to develop and provide a community model based on the concepts of open archiving and open access for the researchers specialized in the related fields of research. This community model is developed focusing on the research results from the field of bioscience, where the most extensive studies are currently being conducted. To develop the community model, this study: (a) surveys the current status of the content owned by KISTI; (b) analyzes the patterns and characteristics of bioscientific content among the KISTI-owned content; and (c) designs a web platform where researchers can freely upload/download research results