• 제목/요약/키워드: expanding research topics

검색결과 46건 처리시간 0.023초

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

  • 한경수;이해영;신선화;채인숙
    • 한국식생활문화학회지
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    • 제37권3호
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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.

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

  • 문건두;김경재
    • Journal of Information Technology Applications and Management
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    • 제30권1호
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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.

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

  • 이현정
    • 융합정보논문지
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    • 제7권5호
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    • pp.149-155
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    • 2017
  • 본 연구의 목적은 최근 한국 사회복지 분야의 여성 관련 연구 동향을 고찰함으로써 향후 연구를 위한 방향을 제공하는 데 있다. 본 연구는 본 주제에 관한 선행 연구 결과를 기반으로 새로운 연구 결과들을 축척함으로써 사회복지 지식의 지평을 넓히는 차원에서 이론적 중요성을 갖는다. 내용 분석을 사용하여 2009~2017년 한국사회복지학에 게재된 여성 관련 논문 37편들을 연구 대상, 연구 주제와 연구 방법들을 중심으로 분석하였다. 연구 대상에 관한 분석 결과, 여성에 관한 사회복지 연구에서 여성은 클라이언트, 가족과 근로자로서 재현되고 있는 것으로 나타났다. 연구 주제를 분석한 결과 다음과 같은 총 13개의 주제들이 도출되었다: 가족과 가정, 사회적응, 트라우마 관련, 노동, 사회 복지 서비스 관련, 사회/지역사회 참여, 프로그램 또는 척도 개발, 자립, 결혼 관련, 젠더 차이, 젠더, 양성 평등 및 기타. 또한 연구 방법론 측면에서는 실증적 연구 방법론이 대다수로 나타났다. 향후 연구에서는 연구 대상, 주제 및 방법론에 있어 범위를 넓히기 위한 학문적 노력이 필요하다고 하겠다.

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

  • 윤준모
    • 무역학회지
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    • 제46권5호
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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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    • 제9권3호
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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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    • 제6권2호
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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.

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

  • 나형두;천재영;이남용
    • 한국군사과학기술학회지
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    • 제14권1호
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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.

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

  • 이진규;이창배
    • 한국산림과학회지
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    • 제110권3호
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    • pp.308-321
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    • 2021
  • 본 연구는 지난 20년(2001~2020)간 국내 산림생태 분야에 관한 전반적인 연구동향과 주요 연구 주제 분석을 통해 향후 연구의 방향성을 파악하고자 수행되었다. 이를 위해 한국교육학술정보원으로부터 국내 산림생태 관련 총 1015편의 논문 제목 및 키워드 데이터를 수집하여 빅데이터 분석프로그램 Textom과 UCINET을 활용하여 분석을 실시하였다. 분석 결과, 산림생태 관련 연구 논문수는 2006~2010년과 2011~2015년 사이에 증가율 137.6%를 나타내어 2011년 이후 급격히 증가한 것으로 나타났다. 단어빈도, N-gram 분석결과 지난 20년간 산림생태 분야의 주요 연구주제는 종다양성이었으며 2011년 이후 기후변화도 주요 연구주제로 출현하였다. CONCOR 분석결과 산림생태 분야의 주요 연구영역은 종다양성, 환경정책, 기후변화, 운영 관리, 식물분류, 서식지 적합성, 관속식물, 휴양복지로 구분되었다. 특히, 종다양성과 기후변화는 관련 정책 추진 현황을 고려할 때 향후에도 중요 연구주제로 다루어질 것이라 판단되며, 국외 사례를 참고하여 국내 실정에 맞는 연구주제의 다양화 및 범위 확대 등을 고려할 필요가 있다고 본다.

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

  • 이욱;임혜원;여하림;황혜선
    • Human Ecology Research
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    • 제59권1호
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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.

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

  • 황규원;김진경;강승구;강길모
    • 해양환경안전학회지
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    • 제29권7호
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    • pp.724-739
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    • 2023
  • 황해는 지정학적으로 한국, 중국, 북한 사이 해역에 위치하고 있으며, 최근 해양공간 이용이 확대되어 사회적·경제적 가치가 증가하고 있다. 또한 기후변화로 인한 해양환경 변화, 대기오염물질 이동 등 한·중 공동 대응 및 협력의 필요성이 증가되고 있다. 본 연구에서는 황해(Yellow Sea) 키워드의 연구논문을 대상으로 핵심주제(Topic)을 도출하고, 저자 네트워크 분석을 수행하여 연구동향을 탐색하였다. 연구대상으로 1984년부터 2021년 사이에 게재된 Web of Science DataBase의 황해 관련 연구논문을 추출하고, 한중 어업협정, 해양환경공동조사 등 한국과 중국의 주요 이벤트를 중심으로 4개의 시기로 구분하였다. 연구방법으로 텍스트 마이닝(Text Mining)의 일종인 토픽모델링(Topic Modeling)을 활용하여 Topic을 도출하였다. 또한 저자 네트워크를 분석하여 해당 분야의 주요 연구 그룹(Community)과 연구자 및 연구기관의 영향력을 파악하고 시사점을 제시하였다. 분석결과 황해 연구논문의 핵심주제는 1기 퇴적물, 해양생물, 2기 산성화, 미세먼지, 3기 수산양식, 지진, 4기 탄소요인, 해양생태계 등으로 변화하였고, 시기별로 핵심 연구자를 중심의 연구자 그룹이 증가하였다. 연구결과를 토대로 황해 관련 연구 동향과 주요 연구자 및 연구기관을 파악함으로써 향후 한국과 중국 간의 황해 연구협력에 기여하고자 한다.