• International Journal of Contents
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• 제7권4호
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• pp.108-115
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• 2011

The current study aims to analyze the acceptance of International Standard Terminology (IST) related to herbs and formulas used in Korea. It also intends to examine limitations of each term source by linking texts for herbal medicine research and formula research used in schools of oriental medicine with medicinal substance-formula classification names within the IST framework. This study examined 64 medicinal classification names of IST, including synonyms, 41 formula classification names, 65 classification names of "Herbal Medicine Study," 89 medicinal classification names of "Shin's Clinical Herbal Medicine Study," and lastly 83 formula classification names of "Formula Study." Data on their chief virtue, efficacy and characteristics as medicinal substances were extracted from their definitions, and such data were used to perform Chinese character-English mapping using the IST. The outcomes of the mapping were then analyzed in terms of both lexical matching and semantic matching. In terms of classification names for medicinal substances, "Herbal Medicine Study" had 60.0% lexical matching, whereas "Shin's Clinical Herbal Medicine Study" had 48.3% lexical matching. When semantic matching was also applied, "Herbal Medicine Study" showed a value of 87.7% and "Shin's Clinical Herbal Medicine Study" 74.2%. In terms of formula classification names, lexical matching was 28.9% of 83 subjects, and when semantic matching was also considered, the value was 30.1%. When the conceptual elements of this study were applied, some IST terms that are classified with other codes were found to be conceptually consistent, and some terms were not accepted due to different depths in the classification systems of each source.

• 대한한의학원전학회지
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• 제23권1호
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• pp.59-79
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• 2010

Objective : We did a comparative study about characteristics of oriental medical books. As a result, we took notice of classification in the nominal terms by semantic type of UMLS(Unified Medical Language System). By using classified nominal terms, comparative study can be more effectively. So, we selected another oriental medical book and classified nominal terms in it by semantic type of UMLS. By result of classification, we have attempted to study about comparison between oriental medical books and development of medical theories. Method :We have made a comparative study on classification in the nominal terms between "Biwiron(脾胃論)" and "Soayakjeungjikgyeol(小兒藥證直訣)" according to the below the procedure. (1) Making a nominal terms list of "Soayakjeungjikgyeol(小兒藥證直訣)" and grasping contextual meaning of nominal terms of it. (2) Modification and supplementation about semantic type of UMLS for "Soayakjeungjikgyeol(小兒藥證直訣)". Using the modified classification system, we classified nominal terms. After this process, we arranged classified nominal terms by Haansoft Hangul 2007. (3) Comparing classified nominal terms between "Biwiron(脾胃論)" and "Soayakjeungjikgyeol(小兒藥證直訣)". Result : In the "Soayakjeungjikgyeol(小兒藥證直訣)", there are more than 2,519's nominal terms and different categories of semantic type of UMLS classification from "Biwiron(脾胃論)". Through comparison between their classification of nominal terms, we can understand the characteristics of the two and their development of medical theories.

• 수산해양교육연구
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• 제29권3호
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• pp.689-701
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• 2017

In recent offshore industries, various ambiguous terms have been used without clear definition or classification, causing difficulties in legal, technical, and educational understanding and usage. For an example, the commonly used term of 'Offshore Plant' in Korea is not an universal word technically. There has been no clear technical or legal definition about the 'Offshore Plant' and its classification is also very ambiguous; sometimes it is used to refer offshore oil and gas production platform or it is used to mean offshore renewable power generation plant in some cases. To build a conceptual framework, therefore, this paper suggests a classification of offshore units (1) using internationally agreed terms, (2) agreed with the technical classification used by the ship classification society and (3) being able to include not only the current but also future concepts of offshore units.

• 한국문헌정보학회지
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• 제42권3호
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• pp.259-279
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• 2008

신학 분야의 시소러스를 구축하는 전 단계로서, 패싯을 이용하여 신학 용어를 분류하였다. 영어로 된 신학 사전에서 1.031개의 용어를 선정하였고, 이 중에서 실제로 분류한 용어의 수는 984개이다. 용어를 분류하기 위해서 전개한 패싯은 기본 패싯 7개와 하위 패싯 14개이었다. 분류한 용어들을 분석해 본 결과, 신학 분야의 특성에 맞게 물리적 형태를 갖는 구체적인 용어의 수보다 추상적인 용어의 수가 많았으며. 전체 용어 수의 70% 정도를 차지하였다. 문헌 분류를 위한 십진 분류 체계에 대한 연구가 한계에 이른 상황에서. 이러한 특정 주제 분야의 용어를 분류하고 시소러스를 구축하는 연구가 더 활발해져야 한다고 생각한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.591-609
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• 2024

In this study, preprocessings with all combinations were examined in terms of the effects on decreasing word number, shortening the duration of the process and the classification success in balanced and imbalanced datasets which were unbalanced in different ratios. The decreases in the word number and the processing time provided by preprocessings were interrelated. It was seen that more successful classifications were made with Turkish datasets and English datasets were affected more from the situation of whether the dataset is balanced or not. It was found out that the incorrect classifications, which are in the classes having few documents in highly imbalanced datasets, were made by assigning to the class close to the related class in terms of topic in Turkish datasets and to the class which have many documents in English datasets. In terms of average scores, the highest classification was obtained in Turkish datasets as follows: with not applying lowercase, applying stemming and removing stop words, and in English datasets as follows: with applying lowercase and stemming, removing stop words. Applying stemming was the most important preprocessing method which increases the success in Turkish datasets, whereas removing stop words in English datasets. The maximum scores revealed that feature selection, feature size and classifier are more effective than preprocessing in classification success. It was concluded that preprocessing is necessary for text classification because it shortens the processing time and can achieve high classification success, a preprocessing method does not have the same effect in all languages, and different preprocessing methods are more successful for different languages.

• 한국비블리아학회지
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• 제31권1호
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• pp.115-136
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• 2020

학교도서관에서 가장 많은 장서를 차지하는 주제는 문학의 소설이며, 소설장서를 접근하기 위한 KDC의 현행 분류체계는 학교도서관에서 소설에 접근하려는 이용자의 정보요구에 부합하지 않으므로 이용자 요구를 반영한 장르 분류 방안이 모색되어야 한다. 이에 본고에서는 국내·외 국립 및 공공도서관의 소설장서 분류 현황을 조사하고, 온라인 및 오프라인 서점의 소설장서 분류체계와 KDC와 DDC의 소설 분류표를 비교하여 이를 바탕으로 학교도서관에서 소설장서의 장르 분류 방안을 모색하였다. 우선, 소설장서를 위한 장르분류표를 개발하기 위해, 소설을 위한 장르 용어를 수집하고, 이중에서 14개의 장르 표목을 도출하여 영어 표목의 두문자를 분류기호로 할당하였다. 새롭게 개발한 장르분류표의 적용 방안으로 중등학교 도서관의 KDC 번호를 대상으로 KDC와 혼합 적용, 장르기호를 선치해 적용, 장르기호만 적용하는 세 가지를 제시하였다. 본 연구는 KDC에서 계층 분류의 한계를 극복하고 이용자의 요구를 반영한 소설장서의 장르 분류 방안을 모색하였다는데 의의가 있다.

• 성인간호학회지
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• 제14권2호
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• pp.165-173
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• 2002

Purpose: this study is to explore how useful ICNP nursing phenomena and actions classification is to describe the nursing problem and nursing action statements of nursing records. Method: The number of nursing phenomena statements found in this research were 323. Out of these 323, 222 statements can be fully classified, 62 statements can be partially classified, and 39 statements can not be classified at all by terms from the ICNP phenomena classification axis. Result: The number of nursing practice statements were 318, 252 of which can be fully classified, 63 statements can be partially classified, 3 statements cannot be classified at all by terms from the ICNP nursing action classification axis. Conclusions: In order to describe all the statements found in nursing records, not only new terms but also new axis need to be added to the ICNP.

• 한국도서관정보학회지
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• 제40권4호
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• pp.401-425
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• 2009

이 연구는 건축공학 분야의 학문체계와 KDC, DDC, LCC의 분류체계 및 한국연구재단의 연구분야분류표의 건축공학 분야의 분류체계에 대해 비교 분석한 후, 이를 토대로 KDC 건축공학 분야의 분류체계를 개선할 수 있는 방안을 제시하고자 시도하였다. 분석결과 KDC 제5판의 건축공학 분야는 학문발전의 추세를 반영하는 분류항목의 추가, 건축구조공학 분야의 등위류 분류용어의 적절한 전개, 세부 주제의 추가 전개, 적절한 분류용어의 선택, 분류기호, 영문표기의 오류, 분류항목의 상관색인 누락 등에 대한 개선이 필요한 것으로 나타났다. 이 연구에서는 이러한 문제들을 해결하기 위한 개선 방안을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1373-1387
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• 2012

Contextual advertising is an important revenue source for major service providers on the Web. Ads classification is one of main tasks in contextual advertising, and it is used to retrieve semantically relevant ads with respect to the content of web pages. However, it is difficult for traditional text classification methods to achieve satisfactory performance in ads classification due to scarce term features in ads. In this paper, we propose a novel ads classification method that handles the lack of term features for classifying ads with short text. The proposed method utilizes a vocabulary expansion technique using semantic associations among terms learned from large-scale search query logs. The evaluation results show that our methodology achieves 4.0% ~ 9.7% improvements in terms of the hierarchical f-measure over the baseline classifiers without vocabulary expansion.

• 대한한의학원전학회지
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• 제23권5호
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• pp.35-50
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• 2010

By grouping freshly the virtue terms used in herbal medicine, we are apt to establish the position coordinates of concepts and raise the level of the herbal virtue research in future. As the terms related to the herbal virtue used in herbal medicine are used with the virtue terms mingled with the chief treatable disease terms, it's hard to use the herbal virtue data only. And though the virtues terms imply many data like medical act data or medical operation data, we can't use them fully. We sort the terms related to the herbal virtue into the virtue terms and the chief treatable disease terms and acquire many data like medical act data or medical operation data and group the data by same attribute. At this time in the process of classification we establish sort standards inductively, put relations between the attributes in order, out of this result we grasp the actual conditions of the virtue terms used now, and show useful data for herbal virtue research in future. We got the chief treatable disease terms from the ones related to the herbal virtue, acquired a lot of data from the virtue terms and grouped the data by the same attribute. We established a proper standard inductively in the process of classification, put the relations between the attributes in order, grasped the actual conditions of the virtue terms in use at the moment out of the result of the classification and presented the applicable data for the herbal virtue research in future.