• Title/Summary/Keyword: expanding research topics

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Expanding Research Topics in Foodservice and Restaurant Management: Rethinking Two Decades Bibliometrics in the Journal of the Korean Society of Food Culture (급식·외식 연구주제의 확장: 한국식생활문화학회지의 20년간의 서지학적 재고)

  • Han, Kyungsoo;Lee, Haeyoung;Shin, Sunhwa;Chai, Insuk
    • Journal of the Korean Society of Food Culture
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    • v.37 no.3
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    • pp.179-195
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    • 2022
  • For any research study, in order to achieve the researcher's intended purpose, the depth of research is added, and the area of the subject is expanded by clearly defining the scope and objective. The study was undertaken to analyze the bibliographic data of 254 papers in the field of foodservice and restaurant published in the Journal of the Korean Dietary Culture from 2002 to 2021. The study was divided into two periods: 2002 to 2011, and 2012 to 2021. Research topics were derived and research trends according to temporal changes were confirmed through analysis of keyword networks by period. In addition, analyzing the keyword network of simultaneous appearance of "foodservice" and "restaurant", the research topics were compared and analyzed in relation to which keywords were expanded by period. Our analysis revealed that the research topics were mostly studied for satisfaction and nutrition. Additionally, they were classified into procurement, Korean food before employee menu, marketing, restaurant industry, and quality. In the period from 2002 to 2011, it was confirmed that studies encompassed a wide range of research topics, focusing on foodservice and restaurant; in the second period from 2012 to 2021, the research topics were more classified and subdivided.

XAI Research Trends Using Social Network Analysis and Topic Modeling (소셜 네트워크 분석과 토픽 모델링을 활용한 설명 가능 인공지능 연구 동향 분석)

  • Gun-doo Moon;Kyoung-jae Kim
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.53-70
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    • 2023
  • Artificial intelligence has become familiar with modern society, not the distant future. As artificial intelligence and machine learning developed more highly and became more complicated, it became difficult for people to grasp its structure and the basis for decision-making. It is because machine learning only shows results, not the whole processes. As artificial intelligence developed and became more common, people wanted the explanation which could provide them the trust on artificial intelligence. This study recognized the necessity and importance of explainable artificial intelligence, XAI, and examined the trends of XAI research by analyzing social networks and analyzing topics with IEEE published from 2004, when the concept of artificial intelligence was defined, to 2022. Through social network analysis, the overall pattern of nodes can be found in a large number of documents and the connection between keywords shows the meaning of the relationship structure, and topic modeling can identify more objective topics by extracting keywords from unstructured data and setting topics. Both analysis methods are suitable for trend analysis. As a result of the analysis, it was found that XAI's application is gradually expanding in various fields as well as machine learning and deep learning.

Analysis of Research Trends related to Women: Focusing on Literature in Korean Journal of Social Welfare, 2009~2017 (여성 관련 연구 동향 분석: 한국사회복지학 게재 연구 (2009~2017)들을 중심으로)

  • Lee, Hyunjung
    • Journal of Convergence for Information Technology
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    • v.7 no.5
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    • pp.149-155
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    • 2017
  • The aim of this study is to provide a direction for future research by examining research trends on women in social welfare field in recent years. This study has theoretical significance in terms of expanding the horizon of social welfare knowledge by accumulating new research results based on previous research results on this topic. Using content analysis, we analyzed 37 studies on women published in Korean Journal of Social Welfare during 2009 ~ 2017 focusing on research subjects, research topics, and methods. The results of analyzing the research subjects indicated that women were described as client, family, and worker. In terms of the research topics, the results revealed a total of thirteen themes. In addition, the results showed that empirical research methods were dominant. It is suggested that more efforts should be made in future studies to broaden the scope of research subjects, topics, and methodologies in this filed.

A Study on the Development of Economic Cooperation between Korea and Russia : Focusing on Major Industries and Promotion of EAEU-FTA (한국과 러시아간 경협 발전에 관한 연구 : 주요 산업들과 EAEU-FTA 추진을 중심으로)

  • Jon Mo Yoon
    • Korea Trade Review
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    • v.46 no.5
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    • pp.13-30
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    • 2021
  • The government of Vladimir Putin, which has been ruling Russia for a long period since 2000, has recently strived for the balanced development of underdeveloped regions and sustainable economic growth. Therefore, along with energy development in the Far East and Siberian regions, the government is promoting development projects on logistics and distribution infrastructure. It is also expanding the construction of innovative districts to develop cutting-edge technologies in the outskirts of Moscow. Amid these moves, South Korea is pushing for the New Northern Policy aimed at widening economic cooperation with European and North Asian countries to expand the scope and influence of the country's trade market. The previous year of 2020, marked the 30th anniversary of establishment of diplomatic relations between South Korea and Russia. In this context, this study was initiated to propose various measures for promoting economic cooperation and expanding trade between South Korea and Russia. Therefore, this study examined Russia's political and economic environment and explored its major industrial environment with a focus on the energy industry, innovative districts and infra facility. The study also examined the progress of a FTA between the Eurasian Economic Union, in which Russia currently takes the lead, and South Korea and recommended several measures to upgrade and accelerate economic cooperation between the two countries through research on a range of topics.

A Study on Emotional Healing Trends after 2005

  • Park, Hae Rang
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.86-91
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    • 2021
  • This study starts with the premise that many problematic situations in modern society can seriously damage personal feelings and that this phenomenon can create anxiety in individuals and society. In order to address such anxiety in individuals and society, we would like to propose measures to heal emotions. Accordingly, 270 research trends related to emotions studied from 2005 to 2020 will be analyzed to establish the direction of future research on emotion healing. As a result of analyzing the trends of healing papers, active healing studies have been conducted since 2010, but reading and writing healing through specific academic societies has been the main focus. Theoretical research accounted for a large portion, and emotional research was steadily conducted. Although healing methods are expanding to various topics, they have not been commercialized as specific methods. As a result, we hope that concrete research to heal individual emotions will be expanded and measures to implement a stable future society will be proposed.

Re-conceptualization of Knowledge Organization: Imperatives of Networked Resources and Digitization

  • Chaudhry, Abdus Sattar
    • International Journal of Knowledge Content Development & Technology
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    • v.6 no.2
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    • pp.93-108
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    • 2016
  • Rethinking and re-conceptualization of knowledge organization has become necessary as a result of recent changes brought by digitization, networked resources, and interdisciplinary shifts. This paper calls for a review of curriculum and changes in teaching approaches to respond to these changes. The paper suggests expanding the scope of knowledge organization by adding new topics, and recommends placement of these topics in different courses (introductory or foundation courses, core or required courses, and electives or specialized courses) for a balanced approach. The paper also proposes a change in the mindset about the target of these courses and recommends knowledge organization work be extended from institutions to individuals. It is also suggested that knowledge organization work responsibilities are broadened to involve authors, knowledge workers, and information users rather than restricting it only to trained information professionals. The paper highlights that the digital environment makes it necessary to change the context for teaching KO courses and goes beyond the collection of information resources and addresses personal information management needs as well. The paper concludes that fundamental changes tantamount to re-conceptualization of the area of knowledge organization, which is expected to open up new opportunities for information graduates aspiring to work in information environment beyond libraries.

Research on Interoperability Level Assessment Regard of Tactical Data-Link Characteristics (전술데이터링크의 특성을 고려한 상호운용성 수준평가 연구)

  • Na, Hyeng-Doo;Cheon, Jae-Young;Lee, Nam-Yong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.1
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    • pp.84-91
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    • 2011
  • The Systems Interoperability Test and Evaluation System(SITES) is an T&E support tool for both information system and weapon system. The SITES was developed by reference to the Level of Information Systems Interoperability(LISI) in US. We use the tool via MND Broad convergence Network(BCN) in order to assess information system's interoperability. Nowadays, there are many ongoing researches on expanding assessment capability into weapon systems. As part of those research topics, this paper analyze the characteristics of tactical data-link messages which is the way to exchange the information among the weapon systems, and reflect that characteristics in interoperability level assessment.

A Study on Domestic Research Trends (2001-2020) of Forest Ecology Using Text Mining (텍스트마이닝을 활용한 국내 산림생태 분야 연구동향(2001-2020) 분석)

  • Lee, Jinkyu;Lee, Chang-Bae
    • Journal of Korean Society of Forest Science
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    • v.110 no.3
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    • pp.308-321
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    • 2021
  • The purpose of this study was to analyze domestic research trends over the past 20 years and future direction of forest ecology using text mining. A total of 1,015 academic papers and keywords data related to forest ecology were collected by the "Research and Information Service Section" and analyzed using big data analysis programs, such as Textom and UCINET. From the results of word frequency and N-gram analyses, we found domestic studies on forest ecology rapidly increased since 2011. The most common research topic was "species diversity" over the past 20 years and "climate change" became a major topic since 2011. Based on CONCOR analysis, study subjects were grouped intoeight categories, such as "species diversity," "environmental policy," "climate change," "management," "plant taxonomy," "habitat suitability index," "vascular plants," and "recreation and welfare." Consequently, species diversity and climate change will remain important topics in the future and diversifying and expanding domestic research topics following global research trendsis necessary.

Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service (인공지능 서비스에 대한 온라인뉴스, 소셜미디어, 소비자리뷰 텍스트마이닝)

  • Li, Xu;Lim, Hyewon;Yeo, Harim;Hwang, Hyesun
    • Human Ecology Research
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    • v.59 no.1
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    • pp.23-43
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    • 2021
  • This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

Analysis of Research Trends in Relation to the Yellow Sea using Text Mining (텍스트 마이닝을 활용한 황해 관련 연구동향 분석연구)

  • Kyu Won Hwang;Kim Jinkyung;Kang Seung-Koo;Kang Gil Mo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.724-739
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    • 2023
  • Located in the sea area between South Korea, North Korea, and China, the Yellow Sea plays an important role from a geopolitical perspective, and recently, as the use of marine space in the Yellow Sea is expanding, its social and economic values have been increasing further. In addition, owing to rapid climate changes, the need for joint response and cooperation between Korea and China is increasing in various fields, including changes in the marine environment and marine ecosystem and generation and movement of air pollutants. Accordingly, in this study, core topics were derived from research papers with the Yellow Sea as a keyword, and research trends to date were explored through author network analysis. As a specific research method, research papers related to the Yellow Sea published between 1984 and 2021 were extracted from the Web of Science database and were classified into four periods to derive core topics using topic modeling, a type of text mining. Furthermore, the influences of major research communities, researchers, and research institutes in the appropriate fields were identified through analyzing the author network, and their implications were presented. The analysis results indicated that the core topics of research papers on the Yellow Sea had changed over time, and differences existed in the influence (centrality) of key researchers. Finally, based on the results of this study, this study aims to identify research trends related to the Yellow Sea, major researchers, and research institutes and contribute to research cooperation between Korea and China regarding the Yellow Sea in the future.