• Journal of Information Science Theory and Practice
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• 제8권4호
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• pp.20-28
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• 2020

In this study, the RDA DMP Common Standard (RDCS), a data model for implementing a machine actionable Data Management Plan (maDMP), was analyzed in four aspects. First, the twelve class models proposed by RDCS were analyzed. Second, whether the DMP attribute was included in the class attribute was analyzed. Third, we analyzed the namespace used for RDCS properties. Fourth, the values and identifiers used in RDCS properties were analyzed. As a result of the analysis, four directions for improvement were derived. First, it is necessary to add an academic record class to describe information such as papers and reports, which are representative academic documents. Second, the primary research institution, responsibility, resources, option attribute, and additional attributes are needed to describe the researcher's affiliation information. Third, it is necessary to additionally use a namespace such as Friend of a Friend that can be used universally. Fourth, the use of digital object identifier should be considered to identify academic literature.

• 디지털산업정보학회논문지
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• 제12권3호
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• pp.1-9
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• 2016

The current meaning of "Big Data" refers to all the techniques for value eduction and actionable analytics as well management tools. Particularly, with the advances of wireless sensor networks, they yield diverse patterns of digital records. The records are mostly semi-structured and unstructured data which are usually beyond of capabilities of the management tools. Such data are rapidly growing due to their complex data structures. The complex type effectively supports data exchangeability and heterogeneity and that is the main reason their volumes are getting bigger in the sensor networks. However, there are many errors and problems in applications because the managing solutions for the complex data model are rarely presented in current big data environments. To solve such problems and show our differentiation, we aim to provide the solution of actionable analytics and semantic reusability in the sensor web based streaming big data with new data structure, and to empower the competitiveness.

• 정보화연구
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• 제9권2호
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• pp.133-142
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• 2012

Gartner predicts that by 2012, 40% of EA programs will be stopped due to poor execution and the failure of delivering business value. An organization needs a practical solution to achieve an EA vision. The EA essential approach should be that of business service and process orientation than systems and IT orientation. We propose an Actionable Enterprise Architecture (AEA) which is based on BPM (Business Process Management) and SOA (Service Oriented Architecture), and connected to service & process orientation and engineering. The architecture proposed provides traceability between service-oriented enterprise architecture and its solution. The proposed architecture can transform enterprise architecture from conceptual to physical levels (solutions) with a service and business process paradigm.

• Journal of Computing Science and Engineering
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• 제6권2호
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• pp.168-177
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• 2012

The search for relevant and actionable information is a key to achieving clinical and research goals in biomedicine. Biomedical information exists in different forms: as text and illustrations in journal articles and other documents, in images stored in databases, and as patients' cases in electronic health records. This paper presents ways to move beyond conventional text-based searching of these resources, by combining text and visual features in search queries and document representation. A combination of techniques and tools from the fields of natural language processing, information retrieval, and content-based image retrieval allows the development of building blocks for advanced information services. Such services enable searching by textual as well as visual queries, and retrieving documents enriched by relevant images, charts, and other illustrations from the journal literature, patient records and image databases.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.260-280
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• 2020

Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

• 한국비블리아학회지
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• 제32권4호
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• pp.111-134
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• 2021

최근 국내의 출연연을 중심으로 DMP 작성 및 제출이 점차적으로 의무화되고 있다. 그러나 DMP 작성이 서면 또는 자유 텍스트로 기술되다 보니 표준 및 형식 그리고 관리 측면에서 비표준화 및 불충분한 작성으로 인하여 연구데이터 관리를 제대로 설명하지 못하는 문제점이 발생하고 있다. 따라서 본 연구에서는 기계가 자동으로 생성하고 유지할 수 있는 기계가독형 DMP에 대하여 사례조사를 진행하였으며 maDMP를 적용할 수 있는 방안에 대해서 제안하였다. 조사된 maDMP 사례에는 RDCS, Argos, Haplo Repository 그리고 DMap을 포함하였다. 또한 maDMP를 적용할 수 있는 방안으로 영구 식별자의 사용, 통제어휘 적용 그리고 온톨로지와 같은 시멘틱 기술의 적용을 들 수 있다.

• Agribusiness and Information Management
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• 제8권1호
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• pp.11-16
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• 2016

This paper presents how Digital Knowledge Ecosystem such as "Govi Nena" (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that "Govi Nena" enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

• 지능정보연구
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• 제8권2호
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• pp.159-175
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• 2002

웹 마이닝은 e-Business 환경하에서 존재하는 대량의 웹 데이터에 데이터 마이닝 기법을 적용하여 유용하고 이해 가능한 정보를 추출해내는 과정을 의미하는데, 성공적인 e-Business전개를 위한 핵심적인 기술이다. 본 논문은 인공지능 기법에 기반한 웹마이닝 기술을 활용하여 e-Business상의 온라인 고객의 특성을 분석할 수 있는 data visualization system과 구매 판매 예측시스템의 효과적인 구조와 핵심적인 분석절차를 제안하였다.

• Asia pacific journal of information systems
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• 제25권3호
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• pp.423-444
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• 2015

Ideation is a process of generating new ideas or solutions using online crowd-sourcing technologies. This process has the potential to change the ways by which government agencies innovate and solve problems. Although increasingly more government agencies are implementing online ideation programs to tap into their employees' ideas and creativity, little is known about the unique challenges and effective practices of such programs. Thus, many government agencies are undergoing trial and error and often reinventing the wheel. This research aims to address this problem. By analyzing a focus group session and four cases of U.S. federal government ideation programs designed for their employees, this research identifies important organizational and technological challenges and effective practices. Furthermore, effective practices are grouped into different phases of ideation process and strategic vs. tactical levels to provide more meaningful and actionable insights. This research is an important step towards building a theoretical foundation for government ideation programs. The implications and limitations of this study are discussed.

• International Journal of Knowledge Content Development & Technology
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• 제4권2호
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• pp.67-95
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• 2014

Knowledge Management (KM) is a collaborative and integrated approach adopted at various levels to ensure that an organization's knowledge assets are best utilized to increase organizational performance. While KM has been adopted in a large number of sectors and organizations, colleges and universities, and the higher education sector in general, is yet to take full advantage of the possibilities offered by KM. Also, while past research has sought to highlight the importance of implementing KM in higher education, there is a lack of a single, clear template for KM implementation that universities leaders and administrators can adopt. The contribution of the paper is a practical, actionable, step-by-step plan, as well as a diagrammatic, theoretical framework for initiating KM successfully in colleges and universities.