• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.47-54
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• 2021

Given a document, keyphrase extraction is to automatically extract words or phrases which topically represent the content of the document. In unsupervised keyphrase extraction approaches, candidate words or phrases are first extracted from the input document, and scores are calculated for keyphrase candidates, and final keyphrases are selected based on the scores. Regarding the computation of the scores of candidates in unsupervised keyphrase extraction, this study proposes a method of adjusting the scores of keyphrase candidates according to the types of keyphrase candidates: word-type or phrase-type. For this, type-token ratios of word-type and phrase-type candidates as well as information content of high-frequency word-type and phrase-type candidates are collected from the input document, and those values are employed in adjusting the scores of keyphrase candidates. In experiments using four keyphrase extraction evaluation datasets which were constructed for full-text articles in English, the proposed method performed better than a baseline method and comparison methods in three datasets.

• 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.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.361-366
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• 2018

The purpose of this study is to examine the four aspects of design terminology : dictionary, legal, academic, and popular according to the changes of various media and the stream of times and to establish a basic framework for design terms that can be refined in time. Based on an understanding of the essential meaning of design terms, it provides the basis for establishing the basic direction of the use of design terms that can be used between the design industry and other industries. The research methods are as follows: First, the preliminary meaning of design terms was examined through previous studies. Second, the present state of use of design terms was analyzed using the Internet and various network media. Third, through interviews with experts in each design field, the criteria of contemporary design terms was explored. Ultimately, the direction to establish design terms was derived through these research processes. The result of this study is meaningful to provide the new index of the time and conceptual change of design terms. In the future, it will be necessary to expand the research on design common terms continuously in design-related academia and related industries, and try to establish professional and popular design terms through diverse opinions.

• Information Systems Review
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• v.17 no.1
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• pp.49-64
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• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Journal of The Korean Association For Science Education
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• v.31 no.8
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• pp.1175-1185
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• 2011

Language skills in science education seem to have a great impact on student achievement. Most of the language skills affecting students' science learning can be accounted for an understanding of scientific terms. The ultimate goal of this study is selecting and grading the scientific terms for science education. As a basic research, we investigated scientific terms contained in science textbooks, because they are the most basic and selected terminologies. As a result of investigation of scientific terms in physics units of middle school science textbooks, we made a list of 556 scientific terms by grade level. This includes 249 words for grade 7, 170 words for grade 8, and 137 words for grade 9.

• The Journal of Society for e-Business Studies
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• v.8 no.2
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• pp.49-62
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• 2003

Along with the national and international movements to realize the electronic commerce, large amount of architectural information has been converted into digital format and stored in database systems. However the access and utilization of the information is not effective enough. It is because different terminologies are often used for describing the same object in architectural engineering. Furthermore the relationship among related objects is not captured effectively in the databases. In this paper, we utilize the relationship among architectural terminologies in order to search architectural drawings effectively. The relationship is saved in a ontology database and a prototype of search system that utilizes the relationship is presented in this paper.

• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.118-123
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• 2008

온톨로지란 실세계에 존재하는 사물 및 개념, 그리고 용어들 간의 관계들을 컴퓨터가 이해할 수 있는 형태로 표현한 것이다. 온톨로지 구축에 있어서 대용량 코퍼스의 활용은 해당코퍼스에서 등장하는 용어들과 이들 사이에서 나타나는 문자열을 일종의 패턴으로 취급하여 특정 패턴과 함께 나타나는 용어 쌍들을 해당 패턴이 대표하는 의미 관계로 설정하는 방식을 취한다. 그러나 기존의 방법은 주로 두 용어들 사이에서 나타나는 문자열만을 고려하여 패턴을 추출하기 때문에 해당 문장에 포함된 보다 다양한 문장 정보들을 활용할 수 없다. 본 논문은 이러한 한계점을 감안하여, 용어 쌍 사이에서 나타나는 문자열과 주변 동사 정보를 함께 고려함으로써 패턴의 정교성을 향상시키는 방법을 제안한다. 또한 동사들의 동의어를 활용하여 다양한 용어들을 포괄할 수 있는 일반화된 패턴을 구축한다. 본 방법론은 is-a 관계의 경우 64%, part-of 관계의 경우 83%, made-of 관계의 경우 73%, use 관계의 경우 72%의 정확률을 보였으며 모두 기존 방법보다 향상된 결과를 가져왔다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.340-342
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• 2022

Index Terms, or keywords, are an important component of research papers because they present a quick overview of the main subjects covered in the research paper by highlighting the most important nouns. In this study, we extracted the author-assigned index terms from KIICE Conference Proceedings dating back to 2018 for seasonal conferences, and 2016 for the international conference (ICFICE). The extracted index terms were standardized and analyzed to gain an understanding of research topic trends and any over or under-represented research topics. This kind of index term analysis is expected to be useful in helping researchers not only identify additional potential topics for their own research, but also aid them in selecting from a common vocabulary of keywords when they assign index terms to their research papers.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.237-243
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• 2011

Various standard terminologies in medical field are composed individually to different structure. Therefore, information on crosswalking between the terminologies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by composing various terminologies. However, the tools also have difficulty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving information on location and structure of the terminologies. And the mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, various types of mapping information could be defined and created in the system because mapping data are constructed as triplets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, RDF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.209-216
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• 2015

In science classrooms, using science terminology is a very important aspect of communications between science teachers and students, as well as in the science learning of students. This study was conducted to investigate the usage of the science terminology in the lectures of science teachers, and identify the problem in the aspect of both communication and teaching. To do this, we have recorded 13 hours of class teaching 'Motion' part in unit of 'Force and Motion' from three science teachers, and extracted science terminologies from the science teachers' lectures by using an analysis program. We performed qualitative analysis, such as kind of science terminology used, and linkage between curriculum and textbook, and quantitative analysis, such as number of science terminology, and frequency of use. With respect to communication, there appears some problems in its proportion in the teacher's lecture in class. It is deemed that science terminology in teachers' lectures were too many, that the frequency of usage of important conceptual terminology was low, and that teachers use higher level terminologies to explain key concepts. And in respect to science learning, there were problems where terminologies including important concepts were used separately by the teachers and textbooks, terminologies of higher level concept were used, and there might be differences between teachers in majority of teachers.