• Title/Summary/Keyword: 용어의미

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A Comparative Analysis of the Meaning of Mathematical Terms in Elementary Mathematics Textbooks used in Korea and a Korean Dictionary (초등 수학 교과서와 국어사전에서 부여하는 수학 용어의 의미에 대한 비교 분석)

  • Kang, Yunji
    • Education of Primary School Mathematics
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    • v.26 no.1
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    • pp.15-28
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    • 2023
  • Since mathematical concepts are learned through the meaning of mathematical terms in school mathematics, learners must understand and use mathematical terms appropriately. However, the meaning of mathematical terms used in real life may be perceived differently from elementary mathematics textbooks, and this difference may cause confusion in learners' understanding of mathematical terms. Therefore, this study was intended to compare and analyze the mathematical terms in elementary mathematics textbooks used in Korea and a Korean dictionary. The findings revealed that the meaning of the textbooks was similar or different, and the subject indicated by each meaning was different. In this case, in order to prevent confusion among learners, it is necessary to supplement and guide each meaning by recognizing the difference between the mathematical terms in elementary mathematics textbooks used in Korea and a Korean dictionary.

A semantic investigation on high school mathematics terms in Korea - centered on terms of Chinese characters (고등학교 수학 용어에 대한 의미론적 탐색: 한자 용어를 중심으로)

  • 박교식
    • Journal of Educational Research in Mathematics
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    • v.13 no.3
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    • pp.227-246
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    • 2003
  • In this paper, some terms of high school mathematics which read Chinese characters phonetically in Hangul are studied semantically. Nowadays, most terms of high school mathematics are terms of Chinese characters given the reading of them in Hangul alphabet. In such terms of Chinese characters, there are many loan-words from daily life and newly coined terms. Some such terms are examined in respect of meaningfulness and rule-ness. The degree of meaningfulness and rule-ness of loan-words from daily life are relative. Students seems familiar to loan-words usually, but it is difficult to know whether students seems to be familiar to loan-words or not. Degree of familiarity to a certain loan-word must be relative. In loan-words, there are such terms whose mathematical meaning is different from daily life meaning. Such terms are strong in rule-ness. Newly coined terms are strong in rule-ness. Students are not familiar to newly coined terms which are not used in daily life and have only mathematical meaning. In coining new terms using Chinese character, unit characters are related directly or indirectly to concept which unit characters want to express. So, It is possible to guess something unit characters want to express by investigating them. According to Vinner(1991), images can be evoked. But in case of reading Chinese characters phonetically in Hangul, it can not be guaranteed for Hangul mathematical terms to evoke images which the original mathematical terms evoked. To solve such problems semantic investigation of mathematical terms has been suggested. Through this process, transplanting images which the original mathematical terms evoked into Hangul terms are planned.

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A Study on the Factors Influencing Semantic Relation in Building a Structured Glossary (구조적 학술용어사전 데이터베이스 구축에 있어서 용어의 의미관계 형성에 영향을 미치는 요인에 관한 연구)

  • Kwon, Sun-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.2
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    • pp.353-378
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    • 2014
  • The purpose of this study is to find factors to affect on the formation of semantic relation from terminology and what is to be affected by these factors to build the database scheme of terminology dictionary by a structural definition. In this research, 826,905 keywords of 88,874 social science articles and 985,580 keywords of 125,046 humanities science articles in the KCI journals from 2007 to 2011 were collected. From collected data, subject complexity, structural hole, term frequency, occurrence pattern and an effect between the number of nodes and the number of patterns which were derived from the semantic relation of linked terms of established 'STNet' System were analyzed. The summarized results from analyzed data and network patterns are as follows. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation node. Among these factors, betweenness centrality was the most effective and effective size. But term frequency was the least effective. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation type. Term frequency is the most effective. Therefore, when building a terminology dictionary, factors of betweenness centrality, term frequency, effective size, and complexity of subject are needed to select term. As a result, these factors can be expected to improve the quality of terminology dictionary.

A Study on Characteristics of Actual State of School Mathematics Terms in North Korea (북한의 학교수학 용어의 현상적 특징에 관한 연구)

  • Park Kyo Sik
    • School Mathematics
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    • v.7 no.1
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    • pp.1-15
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    • 2005
  • In this paper, some characteristics of actual state of school mathematics terms in north Korean mathematics textbooks, which were issued in 2000-2002, are discussed. In north Korea, terms are expressed in north Korean orthography. Many Chinese style terms are translated into pure Korean terms, but there are still so many Chinese style terms. It is known that there is deep gap between north and south Korean terms. But actually it is not. This means that integration of north and south Korean terms can be easily realized. It is known that translating Chinese style terms into pure Korean term can be useful in mathematics teaching and learning, but north Korean experiences tell that we should act with prudence in doing so. We need sufficient discussion in case of north Korean terms which are totally different with south Korean terms. Semantical analysis is needed with preference survey.

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A Study on the Semantic Relationships in Knowledge Organization Systems (지식조직체계의 용어관계 유형에 관한 연구)

  • Baek Ji-Won;Chung Yeon-Kyoung
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.4
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    • pp.119-138
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    • 2005
  • The purpose of this study is to analyze and systematize the semantic relationships in knowledge organization systems(KOS) . For this purpose, Classification systems, thesaurus, subject headings, semantic networks, ontology, databases were analyzed in terms of the semantic relationships between terms. Also, various kinds of the terminological relationships not only in the current KOS but in the theoretical researches were collected and analyzed. In addition, six proposals were suggested for the organized system of the terminological relationships for the future uses.

Representation of Stone Meaning in Computer Go (바둑착점의 의미표현)

  • 홍병찬;박수목;배재학
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10a
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    • pp.49-51
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    • 2003
  • 컴퓨터 바둑에 대한 기존연구에서는 형세를 판단하거나 행마를 하기 위해 게임이론에 입각한 인공지능적 알고리즘을 주로 사용하였다. 본 논문에서는 이러한 틀에서 벗어나 각 착점의 의미를 언어학적으로 파악하고자 하였다. 이를 위해 먼저 바둑 용어를 의미에 따라 구분하여 정리하였고 분류된 용어에 대하여 세분화된 의미특성을 부여하였다. 정리한 용어를 활용하여 각 착점이 반상에서 가지는 역학관계를 표현하고 그 의미를 해석할 수 있게 하였다. 이를 토대로 각 착점의 가치를 수치화할 수도 있게 되었다. 이러한 분석과 분류는 바둑 한판의 내용을 이야기로 보는데 있어서 그 기초를 제공한다.

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Semantic Relation Extraction using Pattern Pairs Sharing a Term (용어를 공유하는 패턴 쌍을 이용한 의미 관계 추출)

  • Kim, Se-Jong;Lee, Yong-Hun;Lee, Jong-Hyeok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.221-225
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    • 2009
  • Constructing an ontology using a mass corpus begins with an automatic semantic relation extraction. A general method regards words appearing between terms as patterns which are used to extract semantic relations. However, previous approaches consider only one sentence to extract a pattern, so they cannot extract semantic relations for terms in different sentences. This paper proposes a semantic relation extraction method using pairs of patterns sharing a term, where each pattern is extracted using one of the seed term pair satisfying the target relation. In our experiments, we achieved the accuracy 83.75% improving previous methods by 7.5% in is-${\alpha}$ relation and the accuracy 83.75% improved by 5% in part-of relation. We also present a possibility of improving the recall by the relative recall.

Implementation of the Game Terminology Electronics Dictionary (게임전문용어전자사전 구현에 관한 연구)

  • Im, Choong-Jae;Yun, Tae-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11a
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    • pp.355-358
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    • 2002
  • 세계는 지식정보의 창출 및 활용정도가 국가경쟁력을 좌우하는 지식기반사회로 급격히 전환하고 있다. 이러한 상황에서 주요 지식정보의 집중적인 디지털화를 통해서 국가 지식정보 공유체계를 구축하는 것이 무엇보다 시급한 상황이다. 특히 급격하게 성장하고 있는 디지털 콘텐츠 분야의 체계적인 정보화 사업은 관련 분야의 선진국과 경쟁하기 위해서 절실하게 요구된다. 본 논문은 게임산업에 대한 체계적인 정보화를 추진하기 위해서 의미를 기반으로 한 게임전문용어전자사전 구축을 위한 연구 결과를 소개한다. 의미를 기반으로 한 게임전문용어전자사전 구축하기 위해서 다양한 형태의 게임 관련 자료를 통해서 망뭉치를 추출하였다. 추출한 망뭉치로부터 빈도수 등을 이용해서 중요한 의미를 갖는 표제어를 추출하였으며, 추출한 표제어를 이용해서 게임전문용어 시소러스를 구축하였다. 또한 웹 기반으로 게임전문용어전자사전을 구축하기 위해서 SDML 을 이용하여 전문용어를 표기했으며 다양한 검색 기능을 추가해서 게임전문용어전자사전의 프로토타입 시스템을 구축하였다.

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A Note on Appropriate Use and Representation of Terms in Elementary School Mathematics Textbooks (초등학교 수학 교과서에 제시된 용어 사용과 표현의 적절성 고찰)

  • Park, Dae-Hyeon
    • School Mathematics
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    • v.12 no.1
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    • pp.61-77
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    • 2010
  • Understanding of mathematical terms plays one of the key factors in understanding and utilizing related mathematical contents. In order to understand such terms well, it is necessary to define and use them appropriately. In this study, we first investigate specific instances of inappropriate using or representing mathematical terms in elementary school mathematics textbooks from a mathematical point of view and a consistent point of view. We then suggest implications for using and representing such mathematical terms appropriately.

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A Study on Describing Relational Properties of Terms in Geographical Categories According to Conceptual Characteristics for Construction of Structured Glossary (구조적 학술용어사전 구축에 있어서 지역명의 개념적 특성에 따른 관계 속성 기술에 관한 연구)

  • Yim, Bolam
    • Proceedings of the Korean Society for Information Management Conference
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    • 2014.08a
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    • pp.95-98
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    • 2014
  • 본 연구는 지역명 범주에 속하는 용어들의 개념적 특성을 분석하고, 이를 토대로 다른 범주와의 관련도를 파악하여 지역명 범주 용어들을 중심으로 관계 속성들 사이의 논리적 연관성을 부여할 수 있는 모형 도출에 기반이 되는 기초 연구이다. 지역명 범주 용어 중 국가명에 한정하여 분석한 결과, 국가명 개념 속성 중심으로는 계층 구조 관계의 지역명 범주 용어들끼리 연관이 높으며, 전체 범주 용어들의 개념 속성 중심으로는 지역명 범주 용어가 지리적 위치로서의 의미로 주로 쓰이나, 행위의 주체 또는 객체의 의미나 시대의 개념으로도 많이 활용됨을 알 수 있었다. 국가명이 참조되는 개념 속성과 연관되어 활용되는 관계 속성의 경우의 일부는 참조하는 주요 개념 범주와 연관 관계를 토대로 논리적 의미 관계를 생각해볼 수 있는 것으로 나타났다.

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