• Title/Summary/Keyword: Google Scholar

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Information System Evaluation using IPA Method (IPA 기법을 활용한 정보시스템 평가)

  • Park, Minsoo
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.3
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    • pp.431-436
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    • 2020
  • Information service organizations that provide science and technology information with a relatively short information life cycle for free or paid are in need of reflecting rapidly changing user needs and behaviors and grafting the latest technologies. The purpose of this study is to derive improvements for each system by comparing and analyzing general recognition of science and technology information users' domestic and foreign science and technology information sites and importance by science and technology information attributes. A total of 816 users of science and technology information participated in the online survey, and the collected data were analyzed by quantitative methods including IPA (Importance Performance Analysis) technique. The importance was evaluated by the impact value calculated through regression analysis. As a result of data analysis, the general recognition of users on science and technology information sites was relatively high in national science and technology information services, and Google Scholar and Science Direct were also high. Google Scholar was found to have more strength than improvement. A better understanding of the user's preferred system is a good driving force for improving the lack of existing systems. It is necessary to improve the information retrieval of the science and technology information service system, that is, to improve the search speed and functions, and also to improve the user interface with improved convenience and usability.

A Bibliometric Analysis of the Major Korean Journals Indexed in 2020 Google Scholar Metrics (2020 구글 스칼라 매트릭스에 색인된 국내 주요 학술지에 대한 계량서지학적 분석)

  • Kim, Donghun;Kim, Kyuli;Zhu, Yongjun
    • Journal of the Korean Society for information Management
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    • v.38 no.1
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    • pp.53-69
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    • 2021
  • This study aims to understand the research landscape of South Korea using the data of 2020 Google Scholar Metrics. To achieve the goal, we constructed and analyzed four types of networks including the university collaboration network, the keyword co-occurrence network, the journal citation network, and the discipline citation network. Through the analysis of the university collaboration network, we found major universities such as Seoul National University, Keimyung University, and Sungkyunkwan University that have led collaborative research. Job related keywords such as job change intention and job satisfaction have been frequently studied with other keywords. Through the analysis of the journal citation network, we found multiple journals such as The Journal of the Korea Contents Association, Korean Journal of Sociology, and Korean Journal of Culture and Social Issues that have been widely cited by the other journals and influenced them. Finally, Education, Business administration, and Social welfare were identified as the top influential disciplines that have influenced other disciplines through the knowledge diffusion. The study is the first of its kind to use the data of Google Scholar Metrics and conduct a stepwise network analysis (e.g., keyword, journal, and discipline) to broadly understand the research landscape of South Korea. Our results can be used by government agencies and universities to develop effective strategies of promoting university collaboration and interdisciplinary research.

An Entity-centric Integrated Search System Using URI (URI를 이용한 개체 중심적 통합 검색 시스템)

  • Jung, Han-Min;Lee, Mi-Kyoung;Sung, Won-Kyung
    • Journal of KIISE:Software and Applications
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    • v.35 no.7
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    • pp.405-416
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    • 2008
  • To overcome the limitation of keyword-based integrated search, this study shows entity-centric integrated search method using URI scheme. Our system generates entity pages in ways of analyzing user's keyword and instances matched with it, selecting optimal entity type, and calling unit services simultaneously. Topic information extracted from articles is propagated to persons, institutions, and locations by reasoning for providing topic-centric information. With comparative experiments based on search results and usability tests, we proved that this approach is superior to keyword-based integrated search served by CiteSeer and Google Scholar.

Pre-clinical Models and Exercise Effects for Sarcopenia and Frailty (근감소증과 노쇠의 전임상 모델 및 운동 효과)

  • Jee, Hyunseok;Huh, Jung Bin;Kim, Jong-Hee
    • 한국체육학회지인문사회과학편
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    • v.58 no.4
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    • pp.423-433
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    • 2019
  • The purpose of this review is to summarize current knowledge regarding animal sarcopenia and frailty models and their diagnosis indexes. In addition, we introduce the effects of exercise interventions on sarcopenia and frailty syndrome. Data collection and analysis (fifteen published articles from 2005~2017) were conducted by using keywords' sarcopenia index, frailty index, exercise and mice, and so on' in academic search engines such as Google scholar and Pubmed. Sarcopenia and frailty are the representative syndromes in elderly peoples which those symptoms can be effectively prevented or delayed by extremely adjusted long term exercise interventions (The combined oxidative and resistant exercise program might be ideal.).

A Study on Next-Generation Information Service of KISTI (KISTI의 차세대 정보 서비스 연구)

  • Lee, Mi-Kyoung;Jung, Han-Min;Sung, Won-Kyung
    • 한국IT서비스학회:학술대회논문집
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    • 2008.05a
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    • pp.12-17
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    • 2008
  • 시맨틱 웹 기반의 차세대 정보 서비스인 OntoFrame2007은 시맨틱 웹과 웹 2.0 기술을 상호 보완하여 개발한 플랫폼으로 URI기반의 개체 중심적 통합 검색을 통해 Topic, Person, Event 기반의 개체 페이지를 구성한다. 각 페이지에는 Add-on 서비스를 통해 연구자 그룹, 연구자 네트워크, 통계 정보를 제공하며, 매쉬업 기술을 이용하여 매핑 서비스, 도서 서비스를 제공한다. OntoFrame2007은 서비스 설계 과정에서 Google, Google Scholar, CiteSeer, yesKisti 사이트와 비교하여 사용자의 요구사항 및 각 서비스의 장점을 최대한 반영시켰으며, 개발 단계마다 반복적 사용성 평가를 통해 사용자 중심의 서비스를 제공하도록 개선시켰다. 본 시스템에서는 URI를 통해 개체의 모호성을 제거하여 키워드 기반의 통합 검색의 한계를 극복하였으며, 사용자 질의어를 식별하여 단위 서비스로 구성된 최적 개체 페이지를 통해 정교한 검색 서비스를 제공해준다. 개체 페이지들은 키워드 검색 결과, 연구 동향 정보 및 연구자 그룹, 전문가 네트워크 및 지역별 연구 동향 등을 제공해준다.

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An Exploratory Study on the Semantic Network Analysis of Food Tourism through the Big Data (빅데이터를 활용한 음식관광관련 의미연결망 분석의 탐색적 적용)

  • Kim, Hak-Seon
    • Culinary science and hospitality research
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    • v.23 no.4
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    • pp.22-32
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    • 2017
  • The purpose of this study was to explore awareness of food tourism using big data analysis. For this, this study collected data containing 'food tourism' keywords from google web search, google news, and google scholar during one year from January 1 to December 31, 2016. Data were collected by using SCTM (Smart Crawling & Text Mining), a data collecting and processing program. From those data, degree centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of 'core service' and 'social marketing' was high. In addition, the web visibility was also high for destination, such as rural, place, ireland and heritage; 'socioeconomic circumstance' related words, such as economy, region, public, policy, and industry. Convergence of iterated correlations showed 4 clustered named 'core service', 'social marketing', 'destinations' and 'social environment'. It is expected that this diagnosis on food tourism according to changes in international business environment by using these web information will be a foundation of baseline data useful for establishing food tourism marketing strategies.

Multi-faceted Citation Analysis for Quality Assessment of Scholarly Publications (학술논문 품질평가를 위한 다방면 인용분석방식)

  • Yang, Ki-Duk;Meho, Lokman
    • Journal of the Korean Society for information Management
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    • v.28 no.2
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    • pp.79-96
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    • 2011
  • Despite the widespread use, critics claim that citation analysis has serious limitations in evaluating the research performance of scholars. First, conventional citation analysis methods yield one-dimensional and sometimes misleading evaluation as a result of not taking into account differences in citation quality, not filtering out citation noise such as self-citations, and not considering non-numeric aspects of citations such as language, culture, and time. Second, the citation database coverage of today is disjoint and incomplete, which can result in conflicting quality assessment outcomes across different data sources. This paper discuss the findings from a citation analysis study that measured the impact of scholarly publications based on the data mined from Web of Science, Scopus, and Google Scholar, and briefly describes a work-in-progress prototype system called CiteSearch, which is designed to overcome the weaknesses of existing citation analysis methods with a robust citation-based quality assessment approach.

A literature review on the relationship between personal traits and language learning (언어학습과 성격특성의 관계에 대한 문헌 분석 연구)

  • Eisenberg, Sam;Lee, Kyungsuk
    • Journal of Convergence for Information Technology
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    • v.10 no.6
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    • pp.147-155
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    • 2020
  • This is a literature review study on personality traits' role in language learning. Personality traits play an important role in language learning. In order to review research outcomes in recent studies, articles related to language learning and personality traits were collected through research databases such as ProQuest, Google Scholar, and EBSCO. Based on the analysis of collected literature, this study revealed that extraversion and openness to experience are the personality traits leading to the successful language learning. More specifically, extraversion was related to speaking skills while openness to experience was related to listening. It is also important to note which learning strategies are more likely to be utilized in second language learning and personality traits that are more likely to use them. These findings focus on writing skills, listening skills, and speaking skills. Further studies in the field are suggested.

Log Usage Analysis: What it Discloses about Use, Information Seeking and Trustworthiness

  • Nicholas, David;Clark, David;Jamali, Hamid R.;Watkinson, Anthony
    • International Journal of Knowledge Content Development & Technology
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    • v.4 no.1
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    • pp.23-37
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    • 2014
  • The Trust and Authority in Scholarly Communications in the Light of the Digital Transition research project1) was a study which investigated the behaviours and attitudes of academic researchers as producers and consumers of scholarly information resources in respect to how they determine authority and trustworthiness. The research questions for the study arose out of CIBER's studies of the virtual scholar. This paper focuses on elements of this study, mainly an analysis of a scholarly publisher's usage logs, which was undertaken at the start of the project in order to build an evidence base, which would help calibrate the main methodological tools used by the project: interviews and questionnaire. The specific purpose of the log study was to identify and assess the digital usage behaviours that potentially raise trustworthiness and authority questions. Results from the self-report part of the study were additionally used to explain the logs. The main findings were that: 1) logs provide a good indicator of use and information seeking behaviour, albeit in respect to just a part of the information seeking journey; 2) the 'lite' form of information seeking behaviour observed in the logs is a sign of users trying to make their mind up in the face of a tsunami of information as to what is relevant and to be trusted; 3) Google and Google Scholar are the discovery platforms of choice for academic researchers, which partly points to the fact that they are influenced in what they use and read by ease of access; 4) usage is not a suitable proxy for quality. The paper also provides contextual data from CIBER's previous studies.

A Systematic Review of Domestic Research on Clinical Fieldwork in Occupational Therapy (국내 작업치료 임상실습 연구에 관한 체계적 고찰)

  • Cha, Su-Min
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.433-440
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    • 2020
  • The purpose of this study is to analyze the research trend by conducting a systematic review of domestic research on clinical fieldwork in occupational therapy. From 2000 to 2019, papers registered in the Google Scholar, RISS, KISS, and National Library of Korea databases were searched. The search term was "Occupational Therapy" AND "Clinical Fieldwork", and a total of 8 studies were finally selected. As a result of analyzing the research trend, the most frequently used data collection method were surveys 6 studies(75.0%), and the most frequent subject were occupational therapy students was 6 studies(75.0%). The most frequent main theme was satisfaction of clinical fieldwork 4 studies(50.0%). In the future, it was confirmed that quantitative and qualitative growth of clinical research related to occupational therapy in Korea is needed.