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Research Trends of Studies Related to the Nature of Science in Korea Using Semantic Network Analysis (언어 네트워크 분석을 이용한 과학의 본성에 관한 국내연구 동향)

  • Lee, Sang-Gyun
    • Journal of the Korean Society of Earth Science Education
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    • v.9 no.1
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    • pp.65-87
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    • 2016
  • The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

Content Analysis of Food and Nutrition unit in Middle School Textbooks of Home Economics - Focus on the National Curriculums from 1st to 2009 revised (중학교 가정(기술·가정)교과 식생활 영역의 핵심 교육내용 분석 - 제1차 교육과정부터 2009개정 교육과정의 교과서 내용을 중심으로 -)

  • Jang, Yoon-Mi;Kim, Yoo Kyeong
    • Journal of Korean Home Economics Education Association
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    • v.30 no.4
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    • pp.93-112
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    • 2018
  • We analysed the textbooks of Home Economics in middle school from 1st to 2009 curriculums to investigate the contents and the portion of Food and Nutrition section. The key words were generated by word cloud technique using text-mining, and the portion of Food and Nutrition section was presented as a ratio of the pages. The core key words of Food and Nutrition section through the curriculums were 'raw food'·'food'·'diet'. In 1st and 2nd curriculums, the main key words were related to food materials, condiments and nutrients such as 'vitamin'·'protein'. The words such as 'nutrition'·'eating'·'requirement' were newly appeared in 3rd, 'portion' in 6th, and 'diet'·'adolescence' in 7th curriculum. The mean ratio of Food and Nutrition section in Home Economics was 24.3%. While the portion was as high as 31.8% in 7th it was strikingly reduced to 15.2% in 2009th. curriculum. Besides, Food and Nutrition section was composed of 10 units of middle level category during the 2nd and 3rd curriculums, and was reduced to 2 small units with none of middle level category in 2009th curriculum. Although the contents of Food and Nutrition section has been developed and adapted to the needs of the society through the curriculums, the portion of Food and Nutrition section in Home Economics has been reduced especially in 2009th curriculum, which could raise concerns on the health of individuals and communities.

CNN-based Distant Supervision Relation Extraction Model with Multi-sense Word Embedding (다중-어의 단어 임베딩을 적용한 CNN 기반 원격 지도 학습 관계 추출 모델)

  • Nam, Sangha;Han, Kijong;Kim, Eun-Kyung;Gwon, Seong-Gu;Jeong, Yu-Seong;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.137-142
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    • 2017
  • 원격 지도 학습은 자동으로 매우 큰 코퍼스와 지식베이스 간의 주석 데이터를 생성하여 기계 학습에 필요한 학습 데이터를 사람의 손을 빌리지 않고 저렴한 비용으로 만들 수 있어, 많은 연구들이 관계 추출 문제를 해결하기 위해 원격 지도 학습 방법을 적용하고 있다. 그러나 기존 연구들에서는 모델 학습의 입력으로 사용되는 단어 임베딩에서 단어의 동형이의어 성질을 반영하지 못한다는 단점이 있다. 때문에 서로 다른 의미를 가진 동형이의어가 하나의 임베딩 값을 가지다 보니, 단어의 의미를 정확히 파악하지 못한채 관계 추출 모델을 학습한다고 볼 수 있다. 본 논문에서는 원격 지도 학습 기반 관계 추출 모델에 다중-어의 단어 임베딩을 적용한 모델을 제안한다. 다중-어의 단어 임베딩 학습을 위해 어의 중의성 해소 모듈을 활용하였으며, 관계 추출 모델은 문장 내 주요 특징을 효율적으로 파악하는 모델인 CNN과 PCNN을 활용하였다. 본 논문에서 제안하는 다중-어의 단어 임베딩 적용 관계추출 모델의 성능을 평가하기 위해 추가적으로 2가지 방식의 단어 임베딩을 학습하여 비교 평가를 수행하였고, 그 결과 어의 중의성 해소 모듈을 활용한 단어 임베딩을 활용하였을 때 관계추출 모델의 성능이 향상된 결과를 보였다.

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Clinical Evaluation and Treatment of Leg Length Inequality (하지길이균차에 대환 임상평가와 치료)

  • Kim, Chang-Hwan;Kim, Jong-Deog
    • The Journal of Korea CHUNA Manual Medicine
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    • v.5 no.1
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    • pp.19-29
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    • 2004
  • Objectives : Visual check and X-ray are commonly used by chiropractors to estimate ieg length inequality, This study have three categories: diagnosis for anatomic leg length inequality; difference between anatomic and functional leg length inequality; theraphies for anatomic or functional leg length inequality. Methods : We referred to a PubMed site by using word of 'leg length [JU] J Manipulative Physiol Ther', only items with abstracts. Results : We searched 26 articles in J Manipulative Physiol Ther with the key word-Ieg length. Conclusion : 1. Radiographs were most accurate and commonly used by chiropractors to measure anatomic leg length inequality, clinically wood block, tape measure, visual check are acceptable. 2. There was no article about difference between anatomic and functional leg length inequality. 3. Heel lift was commonly used with conservative theraphy for anatomic leg length Inequality. 4. Chiropractors have not yet proved that the supposed positive effects are a result of a reduction of subluxation, The detection of the manipulative lesion in the sacroiliac joint depends on valid and reliable tests, Because such tests have not been established, the presence of the manipulative lesion remains hypothetical. Great effort is needed to develop, establish and enforce valid and reliable test procedures.

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Brand-Post Factors Affecting the Social Media Success : Case of Energy/Eco-Friendly Company Brands in Facebook (에너지·친환경 기업들의 소셜미디어 브랜드 게시글 성공요인 분석)

  • Kim, Eunji;Lee, Yonnim;Cho, Jaehong;Kwon, Ohbyung
    • Journal of Information Technology Services
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    • v.13 no.4
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    • pp.1-17
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    • 2014
  • Domestic and international energy and eco-friendly companies take advantage of social media for image enhancement and product promotion. However, there were no in-depth empirical analysis to verify specific effectiveness of social media use in these sectors. The purpose of this study is to reveal the key factors that are considered to use social media effectively for energy and eco-friendly companies. For this purpose, we regarded the effectiveness of social media as Post Awareness and Word of Mouth. Characteristics of social media as a medium were measured separately, media richness and media genre, as independent variables of social media effectiveness. We investigated 413 posts in Facebook brand page of energy and eco-friendly companies and conducted a content analysis. As a result, post awareness of users was greater when post has richer media such as video. For media genre, word of mouth appeared to be greater when the posts provide information.

A Study on recategorized the architectural notion of Landscape (랜드스케이프 건축개념의 재유형화에 관한 연구)

  • Yoon, Gab-Geun;Kim, Ki-Wan
    • Korean Institute of Interior Design Journal
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    • v.16 no.2 s.61
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    • pp.105-114
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    • 2007
  • As a result of imminent recognition on nature from modern world, the need for the combination between architecture and nature has been raised as another topic in architectural arena, and this kind of work is being conducted under the notion of Landscape. As the term 'Landscape' emerges as the key word in contemporary architecture, 'Landscape' begins to transcend the mere meaning of landscape architecture(gardening). The word, Landscape, has gone beyond the meaning of mere landscape, or rural vista one-dimensionally, and, after having introduced the attributes of nature into building activities, has emerged as a notion trying to form 'the architecture as landscape.' Together with these, 'Landscape' is expanding as a notion having various layers. The notion's, 'Landscape', occupying the significant position in contemporary architecture has been a recent phenomenon over 1980-1990s, and its category of practice has not certain limitation, rather it has started simultaneously from various areas. This study, before reviewing the architectural notion of Landscape by studying the Landscape notion and its various embodying methods being shown in contemporary architecture. As a result of examining the features of Landscape notion shown in various directions(ways), being influenced by the four Landscape types presented by Eduard Bru and the currents of the times, we can see that, though the features are somewhat similar, they are classified and explained as different types respectively. So, we are able to recategorize the features into 6 domains in this study.

CNN-based Distant Supervision Relation Extraction Model with Multi-sense Word Embedding (다중-어의 단어 임베딩을 적용한 CNN 기반 원격 지도 학습 관계 추출 모델)

  • Nam, Sangha;Han, Kijong;Kim, Eun-Kyung;Gwon, Seong-Gu;Jeong, Yu-Seong;Choi, Key-Sun
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.137-142
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    • 2017
  • 원격 지도 학습은 자동으로 매우 큰 코퍼스와 지식베이스 간의 주석 데이터를 생성하여 기계 학습에 필요한 학습 데이터를 사람의 손을 빌리지 않고 저렴한 비용으로 만들 수 있어, 많은 연구들이 관계 추출 문제를 해결하기 위해 원격 지도 학습 방법을 적용하고 있다. 그러나 기존 연구들에서는 모델 학습의 입력으로 사용되는 단어 임베딩에서 단어의 동형이의어 성질을 반영하지 못한다는 단점이 있다. 때문에 서로 다른 의미를 가진 동형이의어가 하나의 임베딩 값을 가지다 보니, 단어의 의미를 정확히 파악하지 못한 채 관계 추출 모델을 학습한다고 볼 수 있다. 본 논문에서는 원격 지도 학습 기반 관계 추출 모델에 다중-어의 단어 임베딩을 적용한 모델을 제안한다. 다중-어의 단어 임베딩 학습을 위해 어의 중의성 해소 모듈을 활용하였으며, 관계 추출 모델은 문장 내 주요 특징을 효율적으로 파악하는 모델인 CNN과 PCNN을 활용하였다. 본 논문에서 제안하는 다중-어의 단어 임베딩 적용 관계추출 모델의 성능을 평가하기 위해 추가적으로 2가지 방식의 단어 임베딩을 학습하여 비교 평가를 수행하였고, 그 결과 어의 중의성 해소 모듈을 활용한 단어 임베딩을 활용하였을 때 관계추출 모델의 성능이 향상된 결과를 보였다.

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Comments Classification System using Topic Signature (Topic Signature를 이용한 댓글 분류 시스템)

  • Bae, Min-Young;Cha, Jeong-Won
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.774-779
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    • 2008
  • In this work, we describe comments classification system using topic signature. Topic signature is widely used for selecting feature in document classification and summarization. Comments are short and have so many word spacing errors, special characters. We firstly convert comments into 7-gram. We consider the 7-gram as sentence. We convert the 7-gram into 3-gram. We consider the 3-gram as word. We select key feature using topic signature and classify new inputs by the Naive Bayesian method. From the result of experiments, we can see that the proposed method is outstanding over the previous methods.

Concept-based Compound Keyword Extraction (개념기반 복합키워드 추출방법)

  • Lee, Sangkon;Lee, Taehun
    • The Journal of Korean Association of Computer Education
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    • v.6 no.2
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    • pp.23-31
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    • 2003
  • In general, people use a key word or a phrase as the name of field or subject word in document. This paper has focused on keyword extraction. First of all, we investigate that an author suggests keywords that are not occurred as contents words in literature, and present generation rules to combine compound keywords based on concept of lexical information. Moreover, we present a new importance measurement to avoid useless keywords that are not related to documents' contents. To verify the validity of extraction result, we collect titles and abstracts from research papers about natural language and/or voice processing studies, and obtain the 96% precision in a top rank of extraction result.

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The Effect of Consumer's Prosumer Propensity on the WOM Effect of Fashion Website (소비자의 프로슈머 성향이 인터넷 패션사이트의 구전효과에 미치는 영향)

  • Hong, Keum-Hee
    • Fashion & Textile Research Journal
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    • v.14 no.1
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    • pp.75-82
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    • 2012
  • Compared to off-line, on-line word-of-mouth has fast dissemination speed and extensive effects based on interactive features. Moreover, in the age of Web 2.0, on-line media has made consumers evolve from simple purchasers to producers, who intervene into product manufacturing through on-line WOM. According to this, this study is conducted to clarify how consumer's prosumer propensity affects WOM in detail when purchasing fashion products on-line through website interactivity and perceived usefulness of WOM. The results are as follows. 1. Consumer's prosumer propensity is classified in four dimensions: the propensity to participate, the propensity to relate, the propensity to amuse and the propensity to create. 2. The sample has shown low prosumer propensity overall, and there were no gender differences. 3. Testing structural equation model, it was clarified that the higher the consumer's prosumer propensity, the higher the consumer's evaluation of website interactivity and thus the greater the WOM effect through its perception of usefulness. 4. There were some differences in the path of structural equation model according to consumer's prosumer propensity. From the results, it can be concluded that consumer's prosumer propensity is a key factor in the on-line WOM. Therefore fashion businesses should actively utilize consumer's prosumer propensity to apply their opinion in the product planning stage or use it as the means of company-friendly viral marketing.