• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.484-486
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• 2005

본 논문은 백과사전 도메인의 지식베이스 설계 및 통계기반 정보추출 방법을 이용한 속성정보 인식에 대하여 기술한다. 층 13개 카테고리로 구성된 백과사전에 대해 99개의 템플릿과 285개의 속성을 정의하였으며, 각 표제어의 추출 대상인 속성정보는 표제어를 설명하는 본문에서 통계기반 기계학습모델인 CRF(Conditional Random Fields)를 적용하여 추출하였다. 백과사전 카테고리 별로 균일하게 선정된 4천 5백 문서를 학습에 사용하였고 테스트 문서셋 500문서에 대해 속성인식률을 측정하였다. 성능 평가한 결과, $F1\;55.76\%\;(P\;74.89\%,\;R\;44.42\%)$의 성능을 나타내었다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.793-795
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• 2004

본 논문은 인물 도메인의 백과사전 지식베이스를 구축하기 위하여 백과사전 본문의 자연어 문장으로부터 인물 표제어의 특징을 잘 나타내는 속성 값을 인식하여 추출하는 방법에 관하여 기술한다. 속성은 인물 공통 및 세부 분야별로 총 52개의 속성을 정의하였고 이를 태그셋으로 정의하여 1천 문서의 백과사전 인물 속성태깅코퍼스를 구축하였다. 속성태깅코퍼스로부터 반자동으로 약 1천 8백여 개의 속성패턴을 추출하였고 백과사전 인물 표제어 24,848개에 대해 속성패턴을 적용하여 지식베이스를 구축하였다. 추출성능은 f-score 0.68의 결과를 나타내었다.

• The Mathematical Education
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• v.53 no.1
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• pp.147-162
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• 2014

The purpose of this study was to investigate the nature of pre-service elementary teachers' metaphors on mathematics textbooks. Their metaphors describe individual and collective patterns of thinking and action on mathematics teaching and learning. To analyze their metaphors, qualitative analysis method based on Lakoff and Johnson's theory of metaphor (1980) was adopted. Metaphors on mathematics textbooks were elicited from 161 pre-service elementary school teachers through writing prompts. The writing prompt responses revealed three types and thirteen categories: As Type I, there were (1) 'Principles', (2) 'Summary', (3) 'Manual', (4) 'Encyclopedia', (5) 'Code', (6) 'Guidelines', and (7) 'Example'. As TypeII, there were (9) 'Assistant', (10) 'Friend', (11) 'Scale', and (12) 'Ongoing'. As TypeIII, there was (13) 'Trap'. Among these categories, 'Guidelines', 'Assistant', and 'Ongoing' were the most frequently revealed. These results indicate that the relations of mathematics curriculum, textbooks, and classrooms are not a unilateral way but should communicate with each other.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.451-453
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• 2015

여가활동이 늘어나면서 레저 스포츠에 대한 관심도 늘고 있다. 하지만 레저 스포츠에 대한 정보를 접하기는 쉽지 않다. 스마트폰의 보급률이 높은 지금 스마트폰의 안드로이드 애플리케이션을 이용하여 사용자에게 레저스포츠에 대한 정보를 제공하고 애플리케이션은 암호화된 데이터베이스와 관리자용 웹페이지를 통해 실시간으로 애플리케이션을 관리함으로써 사용자에게 정확한 정보를 제공한다.

• Journal of Ginseng Culture
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• v.2
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• pp.17-26
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• 2020

Ginseng, also known as Insam, has solidified its status as one of the supreme drugs classified as life time expansion drug since ancient times and was used as a panacea based on its pharmaceutical effectiveness. The demand for ginseng rapidly increased as the demand for ginseng, which targeted only noble class people, expanded to other social class people. Accordingly, the wild ginseng supply reached its limit due to the extinction caused by indiscriminate harvesting and the difficulty of harvesting, and thus the ginseng supply method shifted to the cultivation of high-priced ginseng rather than complicated wild ginseng foraging. Although the timing of ginseng cultivation (also called gasam) in Korea has been studied, the research on the first cultivation area has not been reported yet. In this study, we critically reviewed Korea's first ginseng cultivation site by arranging data related to ginseng cultivation, and the historical data cited here include Joseon Wangjo Sillog (The Annals of Joseon Dynasty), Imwon Gyeongjeji (The Mid-19 Century Encyclopedia Koreana on Rural Living, Edible plants and Herb Volumes), Oju Yeonmun Jangjeon Sango (An Encyclopedic Writing during the Latter Half Period of the Joseon Dynasty), Junggyeongji (The Junggyeong Town Chronicle), Jeungbo Munheon Bigo (The largest encyclopedia of Joseon Dynasty), Insamsa (The Ginseng History) and etc. As a result of data assortment and critical review, the first ginseng plantation in the Joseon Dynasty resulted in the Yeongnam region, and in Yeongnam region, I have no choice but to conclude that it is Punggi-myeon (currently Punggi-eup, Yeongju-si, Gyeongbuk).

• Journal of the Korean Society for Library and Information Science
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• v.47 no.2
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• pp.247-264
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• 2013

Wikipedia represents a revolutionary experiment in the sense that it allows anonymous Internet users to contribute, change, and edit Encyclopedia contents used by tens of millions of people. While a very popular information source on the Internet, because of its questionable information credibility and accuracy, citing Wikipedia articles is being regarded as a risky behavior for scholars. The present study identified 282 scholarly articles from Thomson Reuters' Web of Science citation database that cite Wikipedia at least once. Out of the millions of articles indexed in Web of Science, the proportion of articles citing Wikipedia is extremely small. On the other hand, the numbers are showing a marked increase since 2011. Wikipedia citing articles are distributed in subject areas, such as library and information science, business, psychology, education, and communication more often than in other areas. The distribution of a total of 577 citations from 267 articles for which we were able to obtain full texts shows that Wikipedia is being cited mainly in studies of Wikipedia (139 citations, 24.1%) or as a ready reference source (331 citations, 57.4%). At the same time, about 15% of total citations turned out to be cases of potentially risky behaviors in which Wikipedia is being cited as a crucial basis or data source for study.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.1-10
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• 2016

This paper focus on the digital media quality of one source multi-use for the vitalization of Korean classical literature. This paper examines the structural relationship between the quality of digital media and learning satisfaction/sustainable use intention through digital media. For this we used the case of The 'Encyclopedia of Korean Local Culture(www.grandculture.net)'. Thus we conducted a survey of 418 high school students attending a classical literature class which used the local culture DB. The result of this study demonstrates that quality of media content and media service quality affect the learning satisfaction even if media system quality does not affect the learning satisfaction. Learning satisfaction affect strongly. The result of multi regression showed that system quality increased the learning satisfaction in the high group, but system quality did not effect the learning satisfaction in the low group. These results indicate that if system quality is enhanced, learning satisfaction will be slightly increased, and if quality of contents and services is enhanced, learning satisfaction will be strongly increased.

• Journal of Korean Medical classics
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• v.26 no.4
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• pp.117-153
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• 2013

Objective : Two famous medical doctors, Yoo Itae(以泰, 爾泰) and Riu Euitae(義泰), have been well known in academic world and public in Sancheong-gun. Yoo Itae is the progenitor of Majinhak which is the therapy for measles, he wrote a "Majinpyun" as the first book of therapy for measles in Chosun. Riu Euitae, meanwhile, is a fictional medical doctor and a teacher of Heo Jun who became real without confirmation of historical truths by Roh Jeongwoo who heard about a name, Yoo Itae. Roh's assertion was quoted in the report of literatures, papers, novel, and telecast without verification. His assertion is exposed in novel and media and it has seriously distorted the history. The purpose of this study is to rectify the historical distortion. Methods : Various references study was performed. Confirmed a family tree, birth and death year, birthplace, sepulture, words on a tombstone, writing, collections of works anthology and the existence of keepsake. Investigated records of royal family, Sancheong-gun papers, Sancheong Hyanggyo papers, Dongyuhagan, Chosun Hanryuseungram and the record of Sawoo Munjip(anthology). Analyzed Roh Jungwoo's conversation that tells Riu Euitae is a teacher of Heo Jun and contents of an encyclopedia. Listened to testimony of descendants and assertions of historian in rural area. Verified voice recording on books taken from at birthplace and the space of activity. Results : Yoo Itae is well shown in various records and medical writing books, whereas Riu Euitae does not. Riu Euitae is not a real person in the history. Roh Jeongwoo who asserts Riu Euitae is a teacher of Heo Jun admits his mistake. But, the encyclopedia record describing Riu Euitae is a teacher of Heo Jun, government official at Sancheong district office, historians in rural area, historians in rural area who made a family shrine, gravestone, a statue, memorial, historic site of Riu Euitae on Jinju Rui could not suggest any evidences for the existence of Riu Euitae and for record Riu Euitae is a teacher of Heo Jun. Conclusion : Riu Euitae is neither a real person in the history nor a teacher of Heo Jun. Riu Euitae came from pronunciation confusion between 'I' and 'Eui' in Kyungsang province. Riu Euitae is Yoo Itae on Geochang Yoo who was a medical doctor of King, Sukjeong and wrote medical books including , , .

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.743-750
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• 2003

In this paper, we propose a query expansion and weighting method for document filtering to increase precision of the result of Web search engines. Query expansion for document filtering uses ConceptNet, encyclopedia and documents of 10% high similarity. Term weighting method is used for calculation of query-documents similarity. In the first step, we expand an initial query into the first expanded query using ConceptNet and encyclopedia. And then we weight the first expanded query and calculate the first expanded query-documents similarity. Next, we create the second expanded query using documents of top 10% high similarity and calculate the second expanded query- documents similarity. We combine two similarities from the first and the second step. And then we re-rank the documents according to the combined similarities and filter off non-relevant documents with the lower similarity than the threshold. Our experiments showed that our document filtering method results in a notable improvement in the retrieval effectiveness when measured using both precision-recall and F-Measure.

• Genomics & Informatics
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• v.6 no.4
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• pp.202-209
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• 2008

Biological pathways are known as collections of knowledge of certain biological processes. Although knowledge about a pathway is quite significant to further analysis, it covers only tiny portion of genes that exists. In this paper, we suggest a model to extend each individual pathway using a microarray expression data based on the known knowledge about the pathway. We take the Rosetta compendium dataset to extend pathways of Saccharomyces cerevisiae obtained from KEGG (Kyoto Encyclopedia of genes and genomes) database. Before applying our model, we verify the underlying assumption that microarray data reflect the interactive knowledge from pathway, and we evaluate our scoring system by introducing performance function. In the last step, we validate proposed candidates with the help of another type of biological information. We introduced a pathway extending model using its intrinsic structure and microarray expression data. The model provides the suitable candidate genes for each single biological pathway to extend it.