Development of Platform-Based Knowledge Map Service to get Data Insights of R&amp;D Institution on User-Interested Subjects

Yang, Myung-Seok; Joo, Won-Kyun; Choi, Ki-Seok; Kim, Young-Kuk; Kim, YunJeong

doi:10.1007/s11277-017-5097-z

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…e "Deep Learning" improvement project is an expert team organized by the Development Center of Basic Urban Leisure Physical culture healthy Textbooks of the Ministry of Education. Based on the relevant research and practical experience at home and abroad, combined with the reality of urban leisure physical culture healthy reform in China, it is a project to guide the development of "Deep Learning" as a mega data service platform [6,7]. Deep learning (DL) is not only a problem in the field of computer science but also combines the knowledge of neuroscience and logic disciplines, involving the intersection of knowledge in many interdisciplinary fields [8].…”

Section: Introductionmentioning

confidence: 99%

Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In-Depth Learning

Ji-fang

Jianguo

2022

Mobile Information Systems

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The national fitness service system must focus on meeting the sports needs of residents, innovate the construction mode of urban leisure sports big data service platform, and promote the construction of urban leisure sports health big data service platform. The healthy development of urban leisure sports should also adhere to the principles of demand orientation and problem awareness. Big data is an industry with urban leisure and sports health as its core data. It is a production process that continues to cycle in the life cycle of big data. Therefore, this paper uses in-depth learning to study the construction of big data service platform for urban leisure sports health. The in-depth learning improvement project is an expert team organized by the urban leisure sports health basic textbook development center of the Ministry of education. The data revolution driven by deep learning examined the value of data, conquered the data ocean, and created a new era of personalized medicine in the fields of urban leisure, sports, and health. On the basis of in-depth learning, this paper constructs a big data service platform for urban leisure sports health. On the one hand, the establishment of this platform will help to speed up the construction process of sports service informatization and the reform of various fields of sports, on the other hand, it will help to promote the improvement of the physical quality of the whole people.

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Section: Introductionmentioning

confidence: 99%

Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In-Depth Learning

Ji-fang

Jianguo

2022

Mobile Information Systems

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“…Most of the research talks about the development and methods of developing knowledge mapping based on the need for decision-making such as decisionmaking in the research and development (R&D) planning aspects at Korea Research Foundation (Yoon et al, 2010) proposing a method of building a collaborative network map of national R&D researchers that provides information such as relationships and collaboration between researchers participating in specific topic projects, information from critical researchers with extensive experience and distribution of R&D funding. The proposed map will be used to analyze and question current research behaviors in various fields of research, the point of which is to evaluate the implementation of research projects (Yang et al, 2014), a decision-making of assistant deans in research and academics at universities (Moradi et al, 2017) and research on the use of knowledge mapping as a keyword-based service platform by providing a map of R&D institutions based on membership and projects and the number of project funds that have been received and based on keyword searches required by the users (Yang et al, 2017).…”

Section: Empirical Study Of Knowledge Mappingmentioning

confidence: 99%

An empirical study of knowledge mapping implementation in Indonesian organizational context

Hakim

Sensuse²,

Budi³

et al. 2020

VJIKMS

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Purpose Knowledge growth is currently experiencing a very exponential increase, through a digital transformation of knowledge in the organization and the emergence of various platforms through management system content such as blogs and social media that have encouraged such growth. An employee no longer only interacts in knowledge management (KM) in his organization but can communicate and collaborate to share knowledge through these platforms widely. Much of the spread of knowledge is a challenge for organizations to manage and use their knowledge and spread knowledge and become part of the expertise possessed by employees in their organizations. For this reason, an intelligent knowledge mapping approach is needed to facilitate finding, managing and identifying knowledge owned by an organization. This paper aims to see the use of smart knowledge mapping in organizations empirically. Design/methodology/approach This research was conducted empirically by conducting a literature study method to compile a questionnaire and conduct a survey through purposive sampling, sampling taken from the KM and Society Indonesia community. This survey limits only to respondents who have experience in conducting knowledge mapping in an organization. Findings The use of data sources that have been owned by the organization and also the consideration of the use of digital footprint employees spread across the internet can be a potential to explore the knowledge resources possessed by the organization. Of course, with the support of technology through the use of artificial intelligence (AI), it is expected to be able to present a comprehensive, adaptive and objective knowledge mapping for the organization. Practical implications The paper provides practical implications for knowledge mapping implementation in an organization by adopting AI with considerable digital footprint employees spread across the internet. Originality/value This paper provides empirical information about knowledge mapping implementation in Indonesian organization.

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“…The results show a relationship analysis of the variables that affect the satisfaction regarding LTE services and the various code-division multiple access (CDMA), wideband code-division multiple access (WCDMA), and wireless broadband (WiBro) services. The paper by Yang et al [14] presents the development of a platform-based knowledge-map service to obtain the data insights of an R&D institution regarding the subjects of interest. It provides a platform-based analysis and visualization services through the formation of a knowledge map that is based on an analysis of and the extractions from the interesting data.…”

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confidence: 99%

Knowledge-Based Communication System

Park

2018

Wireless Pers Commun

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With the evolvement of wired and wireless communication technologies and the rapid development of heterogeneous big-data integration, the internet of things (IoT), digital transformation, and distributed storage processes, information communication technology (ICT) has gradually become complicated and intelligent. Knowledge-based communication is used as an evolutionary platform to interact with users through wireless personalized communication; this communication form's capability to connect with knowledge-based communication means that general users are able to access the platform easily and can receive a variety of services.The paper by Thirunavukkarasu et al.[1] presents a nonintrusive forensic-detection method using a discrete stationary wavelet transform (SWT) and multidimensional-scaling (MDS) feature descriptors. It is used as a reduced feature set for detecting the category of copy-move image tampering that automatically identifies multiple tampered regions and distorted tampered regions using the knowledge of the images. The paper by Lim et al. [2] presents the design of a wearable radio-frequency identification antenna using a redesigned antenna and the employment of spiral structures. This is used in the development of the wearable radio-frequency identification antenna for cuffs or shirt collars based on an analysis and the dimensions of the antenna geometry.The paper by Jeong et al.[3] presents a hierarchical biometric-information management scheme through a heterogeneous-device synchronization. This is the study of an analytic hierarchy process (AHP) that uses an information-management scheme for the analysis of medical-device correlations for the purpose of treatment. In addition, it performs not only hospital administrative work but also disease analysis and treatment. The paper by Jin et al.[4] introduces influencing factors, a structural connotation, and measuring dimensions

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Development of Platform-Based Knowledge Map Service to get Data Insights of R&D Institution on User-Interested Subjects

Cited by 4 publications

References 8 publications

Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In-Depth Learning

Research on the Construction of Urban Leisure Physical Culture Healthy Big Data Service Platform Based on In-Depth Learning

An empirical study of knowledge mapping implementation in Indonesian organizational context

Knowledge-Based Communication System

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