• Title/Summary/Keyword: 과학 개념어

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Exploring Teaching Method for Productive Knowledge of Scientific Concept Words through Science Textbook Quantitative Analysis (과학교과서 텍스트의 계량적 분석을 이용한 과학 개념어의 생산적 지식 교육 방안 탐색)

  • Yun, Eunjeong
    • Journal of The Korean Association For Science Education
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    • v.40 no.1
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    • pp.41-50
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    • 2020
  • Looking at the understanding of scientific concepts from a linguistic perspective, it is very important for students to develop a deep and sophisticated understanding of words used in scientific concept as well as the ability to use them correctly. This study intends to provide the basis for productive knowledge education of scientific words by noting that the foundation of productive knowledge teaching on scientific words is not well established, and by exploring ways to teach the relationship among words that constitute scientific concept in a productive and effective manner. To this end, we extracted the relationship among the words that make up the scientific concept from the text of science textbook by using quantitative text analysis methods, second, qualitatively examined the meaning of the word relationship extracted as a result of each method, and third, we proposed a writing activity method to help improve the productive knowledge of scientific concept words. We analyzed the text of the "Force and motion" unit on first grade science textbook by using four methods of quantitative linguistic analysis: word cluster, co-occurrence, text network analysis, and word-embedding. As results, this study suggests four writing activities, completing sentence activity by using the result of word cluster analysis, filling the blanks activity by using the result of co-occurrence analysis, material-oriented writing activities by using the result of text network analysis, and finally we made a list of important words by using the result of word embedding.

Science Technology - 우리 주변의 엉터리 물리학

  • Choe, Won-Seok
    • TTA Journal
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    • s.140
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    • pp.26-27
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    • 2012
  • 과학사를 살펴보면 아리스토텔레스만큼 엉터리 물리학으로 사람들의 믿음에 절대적인 영향을 준 인물도 드물 것이다. 그는 무거운 물체가 가벼운 물체보다 더 빨리 떨어진다고 주장했는데. 그의 이러한 생각은 거의 2천년 동안 진리처럼 받아들여졌다. 갈릴레이가 사고실험(思考實驗)으로 그의 생각이 틀렸다는 것을 증명하고, 뉴턴이 물리학의 틀을 확고히 세웠지만 오늘날에도 이러한 생각을 가진 사람들은 많다. 이는 아리스토텔레스의 영향력이 오늘날까지 이어지고 있는 것이 아니라 자신의 경험에서 유추한 물리에 대한 잘못된 선개념(preconception)을 가진 사람들이 많기 때문이다. 이러한 엉터리 물리학을 물리 오개념(misconception)이라고 부르는데 이러한 물리 선개념은 쉽게 고쳐지지 않으며, 심지어 과학전공자나 과학책에도 이러한 것들이 종종 발견된다.

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Ontology Mapping using Semantic Relationship Set of the WordNet (워드넷의 의미 관계 집합을 이용한 온톨로지 매핑)

  • Kwak, Jung-Ae;Yong, Hwan-Seung
    • Journal of KIISE:Databases
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    • v.36 no.6
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    • pp.466-475
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    • 2009
  • Considerable research in the field of ontology mapping has been done when information sharing and reuse becomes necessary by a variety of ontology development. Ontology mapping method consists of the lexical, structural, instance, and logical inference similarity computing. Lexical similarity computing used in most ontology mapping methods performs an ontology mapping by using the synonym set defined in the WordNet. In this paper, we define the Super Word Set including the hypenym, hyponym, holonym, and meronym set and propose an ontology mapping method using the Super Word Set. The results of experiments show that our method improves the performance by up to 12%, compared with previous ontology mapping method.

A Korean Noun Sematic Hierarchy based on Semantic Features (의미속성에 기반한 한국어 명사 의미 체계)

  • Jo, Pyeong-Ok;Ok, Cheol-Yeong
    • Journal of KIISE:Software and Applications
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    • v.26 no.4
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    • pp.584-594
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    • 1999
  • 의미 체계는 한국어 기초어휘에 대한 개념지식을 구축하는데 기본이 될 뿐만 아니라, 문장 분석시의 구조적 모호성과 단어 의미 모호성을 해소하는 중요한 단서를 제공할수 있다. 이러한 의미 체계가 실용적으로 여러 응용 시스템에서 사용되기 위해서는 광범위하고 타당한 자료를 바탕으로 하여 객관적인 방법으로 설정되어야한다. 국어 사전의 뜻풀이말에서의 상위개념을 표제어의 상위어로 선정하는 bottom-up 방식으로 구축하였던 한국어 명사의미체계는 사전편찬시의 비일관적인 뜻풀이말의 기술에 따른 여러 문제점이 있었다. 본 연구에서는 이러한 문제점들을 해결하기 위해서 사전 뜻풀이말에서 상위개념을 수식하는 어절과 용언의 의미호응관계에서 상위개념의 의미속성을 추출하고, 이들 의미 속성에 의한 명사의미체계를 구축하고 이를 바탕으로 명사의미 TAG를 설정할수 있다.

A Study on the Archiving of a Social Phenomenon through Neologism (신조어를 활용한 사회적 현상 아카이빙 방안 연구)

  • Kim, Hwan;Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.52
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    • pp.315-342
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    • 2017
  • Language is an important medium for communication among the members of society and a mirror that reflects society as a whole. As society and culture change and develop over centuries, language follows suit. To keep up with the changes in the new era and express new concepts, countless new neologisms continue to appear. Recently, the use of neologisms is getting increasingly focused on social networking service and other Internet communication sites, which then spread rapidly through various media. If you look at the popular neologisms on the Internet, it implicitly reflects conflicts between the eras and the generations, people's psychology and ideology, and social phenomena such as culture. The function of neologisms is not solely for the entertainment element of communication but also for criticizing social problems and their vital use as a search keyword. This study focuses on the meaning and importance of gathering information and analyzing records about neologisms that reflect the social phenomenon in a certain period, and this will be labeled as "neologism archiving." This study proposes a direction for the construction of a neologism archive by comparing the currently existing neologism archiving system with the existing dictionary concept. In addition, this study serves as a reminder of the convenience and the contemporary social phenomena, such as smooth communication between generations, and the dissemination of inequality of information sharing. Lastly, this study aims to support experts with their research on neologisms for the social phenomenon.

Comparison of the Features of Science Language between Texts of Earth Science Articles and Earth Science Textbooks (지구과학 논문과 지구과학 교과서 텍스트의 과학 언어적 특성 비교)

  • Lee, Jeong-A;Kim, Chan-Jong;Maeng, Seung-Ho
    • Journal of The Korean Association For Science Education
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    • v.27 no.5
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    • pp.367-378
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    • 2007
  • The purpose of this study is to investigate the features of science language in Earth science textbooks and Earth science research articles. We examined two Earth science textbooks and two Earth science articles using the taxonomy of scientific words, the text structure analysis of explanations, the analysis of conjunctive relations and reasoning, and the function of conjunction. The results showed that school science language revealed in Earth science textbooks had high proportion of naming words and the text structures in which definition/exemplification structure and description structure were dominant. Also, internal relations that showed additional arrangement rather than logical inference, were predominant in Earth science textbooks. However, scientists' science language revealed in the Earth science articles had more proportion of process words and concept words than the Earth science textbooks and the schematic structure of explanation texts, such as orientation - implication sequence - conclusion. In addition, the text structures in each sentences of implication -sequence showed cause/effect or problem-solving after description structures. Also each sentences expressed causal or abductive reasoning through the internal relations using verbs or adverbial inflection. It is necessary that we bridge the gap between the two languages for students' authentic use of science language. For the bridging, we propose "interlanguage", which mediates between school science language and scientists' language.

A Study on Ontology-based Keywords Structuring for Efficient Information Retrieval (연구.학술정보 효율적 검색을 위한 온톨로지 기반의 주제 색인어 구조화 방안 연구)

  • Song, In-Seok
    • Journal of Information Management
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    • v.39 no.4
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    • pp.121-154
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    • 2008
  • In this paper, a ontology-based keyword structuring method is proposed to represent the knowledge structure of scholarly documents and to make inferences from the semantic relationships holding among them. The characteristics of thesaurus as a knowledge organization system(KOS) for subject heading is critically reviewed from the information retrieval point of view. The domain concepts are identified and classified by analysis of the information activities occurring in a general research process based on scholarly sensemaking model. The ontological structure of keyword set is defined in terms of the semantic relationship of the canonical concepts which constitute scholarly documents such as journal articles. As a result, each ontologically structured keyword set of a document represents the knowledge structure of the corresponding document as semantic index. By means of the axioms and inference rules defined for information needs, users can efficiently explore the scholarly communication network built on the semantic relationship among documents in an analytic way based on the scholarly sensemaking model in oder to efficiently retrieve the relevant information for problem solving.

Conceptualization of IT Humanities through Keyword Topic Modeling (주제어 토픽모델링을 통한 IT 인문학 개념의 정립)

  • Youngmi Choi;Namje Park
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.467-480
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    • 2022
  • This paper aimed to explore research trends for the conceptualization of IT humanities. Reflecting domestic and international references which focused on the possibility of the integration of digital technology and humanities, the authors examined the beginning, background, and relevant concepts of IT humanities to figure out the meaning and the research trends. In addition, using the search word "IT humanities," the authors analyzed network topics of the keywords retrieved from 1,566 KCI and 64 SCI journal articles published since 2001. The concept of IT humanities in the previous studies has tended to associate with competencies that allow considering various fields of IT based on the lens of humanities perspectives. The result of the topic modeling revealed four groups as fields to be integrated with IT humanities, methods of implementation, connections of literature or culture, and creations of IT humanities. Instead of instrumentalization or merger by one stance of IT or humanities, it is imperative to collaboratively work for the generation of a new viewpoint through mutual respect of disciplines.

Analyzing Rock Descriptors Used by Elementary School Students in Different Task Contexts (과제 맥락에 따른 초등학생들의 암석 기술어(記述語)에 관한 연구)

  • Oh, Phil Seok
    • Journal of the Korean earth science society
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    • v.41 no.1
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    • pp.61-74
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    • 2020
  • The purpose of this study was to compare rock descriptors used by students in two different task contexts and to suggest the characteristics of a task suitable for learning of rocks. Twenty-four 3rd grade students were given descriptive and inferential tasks about three types of sedimentary rocks, and the rock descriptors used by the students were analyzed from a resources-based view (RBV) about students' conceptions. The result showed that the number of students using everyday descriptors to describe properties of the rocks and the frequency of using the everyday descriptors decreased in the inferential task. It was also revealed that the students using disciplinarily more appropriate descriptors were more likely to infer the process of rock formation in scientifically valid ways. By contrast, student inferences lacking scientific validity were mostly those that used everyday descriptors to express properties of the rocks. Based on these findings, it was concluded that inferential tasks would be suitable for student learning of rocks which is to be authentic to the essential features of earth science practices.

Dictionary Making for Disambiguation (동사의 애매성 해소를 위한 구문의미사전의 구축)

  • Song, Young-Bin;Chae, Young-Soog;Park, Yong-Il;Lee, Jun-Min;Seol, Kah-Young;Hwang, Hye-Ri;Han, Na-Ri;Choi, Key-Sun
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.280-287
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    • 1999
  • 동사의 애매성이란 동일 동사 내부에서 공기하는 명사의 상충적 의미의 분포에 의해 발생한다. 이는 동일한 동사라 하더라도 명사의 상위개념, 흑은 개개의 명사에 따라 동사의 의미가 달라진다는 것을 의미한다. 동사의 애매성 해소를 위한 구문의미사전은 동사가 갖는 격틀과 논항에 오는 명사의 단어 집합에 의해 구성된다. 기계용 사전에서의 동사의 애매성이란 명사의 상위개념, 혹은 개개의 명사에 관한 정보가 결여될 때 나타난다. 지금까지의 구문의미사전은 개개의 동사가 갖는 격틀을 중심으로 논합명사의 예만을 제시하거나 명사의 상위개념을 기술하는 형식으로 구성되어 왔다. 이는 형식적인 패턴의 추출에는 유용하지만 대역어 선정을 위한 구문의미사전과 같은 섬세한 의미 정보를 필요로 하는 사전에서는 거의 효력을 발휘하지를 못한다. 다국어를 전제로 한 동사 대역어의 추출을 목적으로 하는 구문의미사전에서는 동사와 공기하는 논항명사의 철저한 추출과 검증에 의한 명사목록의 구축이 애매성 해소와 정확한 동사 대역어의 선정에 전제가 된다. 본 논문에서는 KAIST Corpus를 기반으로 현재 구축 중인 한국어 구문의미사전의 개요와 구축 과정에서 얻어진 방법론을 소개한다. 이 연구개발 결과는 과학기술부 KISTEP 특정연구개발과제 핵심소프트웨어개발 국어정보처리기술개발 중 "대용량 국어정보 심층 처리 및 품질 관리 기술 개발"의 지원을 받았다.

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