• Journal of the Korean Society for Library and Information Science
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• v.45 no.3
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• pp.69-85
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• 2011

This study reviewed theories for database integration, which combines heterogeneous data structures, and suggested a practical method to integrate databases of Korean Research Memory(KRM) and Infrastructural Basic Research(IBR) as a case study. In order to broadly distribute the outcomes of IBR, it is essential to be connected to and integrated with the database of KRM. As a solution, it was suggested that the current database of IBR should follow standard guidelines as a XML database, and its future database should be integrated with the database of KRM or be established as a stand-alone system

• Spatial Information Research
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• v.21 no.6
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• pp.1-9
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• 2013

Recently, Construction information is being changed from CAD to BIM, and GIS is extending from outdoor to indoor information. In these circumstances, the needs of continuous use of construction information linked with GIS are growing constantly in stages of maintenance, operation and service as well as planning, design and construction. To this end, it is essential element to represent 3-dimensional large object efficiently in establishing BIM-GIS interoperability platform by combination of construction and spatial information. In this study, we design spatial data LOD for making spatial object and texture by level, and develop weight lightening algorithm of large spatial object.

• Journal of the Korean Society for information Management
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• v.31 no.3
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• pp.133-151
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• 2014

This study was to investigate the concept of ISNI and to find its availability in authority control, realizing importance of ISNI as the bridge identifier including all the information media content industries. ISNI is needed for global and comprehensive name authority control as the bridge identifier for the identification of public identities of parties involved throughout the information media content industries in the creation, production, management and content distribution chains. First of all, it was to inquire ISNI concept, goal, terms and definitions, structure and syntax, allocation of ISNI, administration of the ISNI system, and metadata. Next, it was to suggest the applicability of ISNI in authority control. First, it should be needed to consider in applying ISNI for cooperative authority control. It is possible to interactively use the authority data created in library and other information industries area by constructing KISNI system. Second, it is possible to construct linked data by linking various identifier through ISNI identifier as bridge identifier. Third, it is needed to develop KORMARC for describing ISNI identifier in KORMARC bibliographic and authority record.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.136-145
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• 2006

SWAT includes a lot of parameters related with geography, hydrological time series, land management and water pollution, etc. So, it needs many spatial, non-spatial and time series data to run SWAT. If SWAT is operated in conjunction with GIS, we can use database which includes model input data and do all the processes which covers data creation, model input and analysis of simulation results in a system. The objective of this study is to develop HyGIS-SWAT which is the interface system to couple the SWAT model and HyGIS. To achieve this object, system operation process based on HyGIS-SWAT data model is evaluated and databases are designed and established. As a result, HyGIS-SWAT prototype system is developed. HyGIS data model and HyGIS-Model operation process can be applied effectively to the development of HyGIS-SWAT. The technologies from this study can be used as base technology to develop another HyGIS application which connect HyGIS with models.

• Journal of Korea Water Resources Association
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• v.54 no.1
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• pp.61-69
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• 2021

In this study, in order to efficiently perform smart city river management, we developed an integrated platform that connects flood analysis models on the web and provides information by converting input and output data into a database. In the integrated platform, a watershed analysis model, a river flow analysis model and an urban runoff analysis model were applied to perform flood analysis in smart city. This platform is able to obtain more reliable results by step-by-step approach to urban runoff that may occur in smart city through the applied model. In addition, since all analysis processes such as data collection, input data generation and result storage are performed on the web, anyone in an environment that can access the web without special equipment or tools can perform analysis and view results. Through this, it is expected that smart city managers can efficiently manage urban runoff and nearby rivers, and can also be used as educational materials for urban outflows.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.283-290
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• 2024

Software education is an important subject in the era of forth industrial evolution generation, and the number of hours is gradually expanding in Korea's elementary and secondary curriculum, and universities have also opened software-related courses to take liberal arts mandatory regardless of major. The Ministry of Education presented elementary and secondary school programming achievement standards and emphasized the connection between prerequisite subjects as educational goals. Applicants for programming classes at H University also completed information classes in elementary and secondary courses, but many students were new to programming without taking related classes. Therefore, this study analyzed the data using the survey data and achievement scores of programming learners. As a result of the analysis, information classes completed in elementary and secondary courses were not linked to higher education courses at all, and improvements for problem solving were derived. This study is meaningful as a study for effective software education in higher education courses.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.211-216
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• 2021

Information from various heterogeneous devices is steadily increasing in distributed cloud environments. This is because high-speed network speeds and high-capacity multimedia data are being used. However, research is still underway on how to minimize information errors in big data sent and received by heterogeneous devices. In this paper, we propose a deep learning-based asymmetric storage management technique for minimizing bandwidth and data errors in networks generated by information sent and received in cloud environments. The proposed technique applies deep learning techniques to optimize the load balance after asymmetric hash of the big data information generated by each device. The proposed technique is characterized by allowing errors in big data collected from each device, while also ensuring the connectivity of big data by grouping big data into groups of clusters of dogs. In particular, the proposed technique minimizes information errors when storing and managing big data asymmetrically because it used a loss function that extracted similar values between big data as seeds.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.101-126
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• 2017

Data Science is emerging as a closely related field of study to Library and Information Science (LIS), and as an interdisciplinary subject combining LIS, statistics and computer science in an attempt to understand the value of data by applying what LIS has been doing for collecting, storing, organizing, analyzing, and utilizing information. To investigate which subject fields other than LIS, statistics, and computer science are related to Data Science, this study retrieved 667 materials from Web of Science Core Collection, extracted terms representing Web of Science Categories, examined subject fields that are studying Data Science using descriptive analysis, analyzed the intellectual structure of the field by co-word analysis and network analysis, and visualized the results as a Pathfinder network with clustering created with the PNNC clustering algorithm. The result of this study might help to understand the intellectual structure of the Data Science field, and may be helpful to give an idea for developing relatively new curriculum.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.99-99
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• 2017

최근 4차 산업혁명 시대 도래에 따른 빅데이터가 이슈화 되고 정부의 공공 데이터 개방? 공유 정책 등으로 정부의 R&D 정보화 서비스도 다양화되고 있다. 특히 해양수산 R&D사업은 해양이라는 공간적 제약으로 선박 및 특수 장비 등을 사용함에 따라 연구비 단가가 상대적으로 높은 실정임에도 해양수산 연구 자료 및 관측자료가 통합적으로 관리되지 않고, 사업별 기관별로 산발적으로 관리되고 있어, 이에 따라 연구 DB 통합관리의 수요가 제기 되고 있다. 이에 해양수산 R&D사업에서는 사업별 통합 DB 구축사업이 진행되고 있고, '관할해역해양정보 공동활용시스템(JOISS)'이 대표적이라 할 수 있다. JOISS는 2012년부터 시작된 '관할해역 해양정보 공동활용체계 구축'과제를 통해 자료 표준화 연구와 함께 해양과학조사 분야의 R&D과제들과 실시간 해양관측망으로부터 산출되는 데이터를 수집하고, 정보서비스를 구현한 시스템이다. 2016년 1차 시스템 구축을 완료하여 현재 서비스를 진행하고 있다. 한편, 해양관측 데이터 수집 공유 서비스 외 해양수산 R&D사업과 연계된 다양한 정보들을 나누고 소통하는 온라인 장을 구현하기 위해 '해양수산 R&D 지식정보 시스템(OFRIS)' 개발사업이 별도로 진행되고 있다. OFRIS는 해양수산 R&D사업을 통한 데이터의 원할한 수집 및 품질관리 등의 문제를 보완하고, 그 외에도 사업별로 분산 관리되고 있는 R&D 관련 정보를 연계하고, 기술공급자와 수요자를 직접 연결해 주는 '개방형 기술 정보 중개 시스템'으로의 역할, 국내외 해양수산 R&D관련 정책 연구 산업 동향을 엄선하여 제공하는 등 해양수산 R&D 종합 포털로서 기능구현을 목표하고 있다. 2017년 말 1단계 개발 완료를 앞두고 있으며, 1단계에서는 시급성 높고, 수요가 많은 (1) R&D동향, (2) 과제이력, (3) 연구성과, (4) 기술거래, (5) DB공유 등 5대 기능을 우선 구현하고, 2단계에서는 통계자료 생산 및 분석 기능 강화, 3단계에서는 해양수산 산업통계, 인력, 교육 등의 정보를 서비스하는 포털로 확장할 계획이다. JOISS, OFRIS를 개발하는 과정에서는 해양수산 R&D의 정보를 수집 관리 하는데 있어 다양한 현안 문제 등이 도출되었으며, 그 중에서도 연구자들의 자발적 데이터 제공 협조, 데이터의 표준화 및 품질검증, 구축된 데이터의 활용 및 피드백 등에 대해 구체적이고 현실적인 대응 방안이 요구된다.

• Journal of Environmental Impact Assessment
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• v.32 no.1
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• pp.29-40
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• 2023

The need for improvement is raised due to limitations with environmental impact assessment, and the importance for data-based environmental impact assessment is increasing. In this study, data demand was derived by analyzing Agreed Terms and Conditions in the Water Environment field (Water Quality, Hydraulic & Hydrologic Conditions, and Marine Environment) of environmental impact assessment. Agreed Terms and Conditions on environmental impact assessment in the water environment field were classified and categorized by environmental impact assessment stage (addition to status survey, impact prediction and evaluation, establishment of reduction measures, post-environmental impact survey), and data demand for each type of consultation opinion was linked. As a result of the categorization of Agreed Terms and Conditions, it was classified into 18 types in the water quality, 15 types in the hydraulic & hydrologic conditions, and 17 types in the marine environment. As a result of linking data demand, the total number of data demand was 236 in the water quality, 98 in the hydraulic & hydrologic conditions, and 73 in the marine environment. The highest number of Agreed Terms and Conditions and data demands were found in the water quality for the evaluation item and establishment of reduction measures, specifically establishment of non-point source pollution reduction measures, for the stage. The numbers were judged to be linked to the relative importance of the items and the primary purpose of environmental impact assessment. The derivation of data demand through the analysis of Agreed Terms and Conditions in the environmental impact assessment can contribute to the advancement of the preparation of environmental impact assessment reports and is expected to increase data utilization by various decision-makers by establishing a systematic database.