• 한국해양학회지
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• v.29 no.4
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• pp.366-375
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• 1994

Distribution of zooplankton was investigated at 30 stations in Asan Bay, an embayment in the western coast of Korea, seasonally in August and October of 1991, and January and April of 1992. Abundances of zooplankton ranged from 240 to 1,458 indiv./m$^3$. Copepods were the predominant constituent, which comprised 88% of total zooplankton abundance. Acartia bifilosa dominated from fall to spring, A. pacifica in summer and Paracalanus parvus in fall. Abundances of zooplankton were related with phytoplankton standing crops and larval fish. In spring, when phytoplankton standing crops were high, zooplankton abundances were highly correlated with phytoplankton standing crops (r$^2$=0.66, p<0.01, n=30). Results of cluster analysis based on the abundance data of zooplankton showed that the study area was divided into two areas, i.e., outer-bay and inner-bay.

• The Journal of Society for e-Business Studies
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• v.16 no.2
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• pp.143-158
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• 2011

This study suggests a framework which extracts features of collective intelligence from social Q&A community sites and takes advantage of those features upon vertical search for domain specific knowledge or information retrieval. One source of collective intelligence on the internet is the question and answer(Q&A) data available from many Q&A sites. Vertical search is focused on searching special areas or specific domains. This paper proposes a framework for extending the relevant terms by using Q&A information connected with query that the user wants to retrieve, and then applies them to specific domain field that requires professional and detailed knowledge.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.3
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• pp.247-267
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• 2011

The purpose of this study is to investigate knowledge structure of knowledge organization research area in Korea. The study employed content analysis and network analysis to analyze degree centrality, betweenness, and eigenvector as well as frequency of words. It also analyzes research articles published during the period of 2000-2001. The study can be summarized that the network of keywords of knowledge organization researches is compact and complicated. Cataloging and classification play important roles in the network, and metadata and ontology becomes focal areas in knowledge organization. On the other hand, networks of authorships and authors are broad and fragmented. Collaboration is not active enough.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.125-134
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• 2009

A biological data acquisition based on web has emerged as a powerful tool for allowing scientists to interactively view entries form different databases, and to navigate from one database to another molecular-biology database links. In this paper, the biological conceptual model is constructed hybrid biological data model to represent interesting entities in the data sources to applying navigation rule property for each biological data source based on four biological data integrating layers to control biological data. When some user's requests for application service are occurred, we can get the data from database and data source via web service. In this paper, we propose a query processing model and execution structure based on integrating data layers that can search information on biological data sources.

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.2
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• pp.164-172
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• 2021

Purpose: The purpose of this study was to analyze the level of interest that common Internet users have in dental implant using a Google Trends, and to compare the level of interest with big data from National Health Insurance Service. Materials and methods: Google Trends provides a relative search volume for search keywords, which is the average data that visualizes the frequency of searches for those keywords over a specific period of time. Implant was selected as the search keyword to evaluate changes in time flows of general Internet users' interest from 2015 to 2019 with trend line and 6 month moving average. Relative search volume for implant was analyzed with the number of patients who received National Health Insurance coverage for implant. Interest in implant and conventional denture was compared and popular related search keywords were analyzed. Results: Relative search volume for implant has increased gradually and showed a significant positive correlation with the total number of patients (P<.01). Interest in implant was higher than denture for most of the time. Keywords related to implant cost were most frequently observed in all years and related search on implant procedure was increasing. Conclusion: Within the limitations of this study, the public interest in dental implant was gradually increasing and specific areas of interest were changing. Web-based Google Trends data was also compared with traditional data and significant correlation was confirmed.

• Journal of the Korean Applied Science and Technology
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• v.40 no.5
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• pp.1072-1080
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• 2023

The purpose of this study is to analyze major keywords and social phenomena related to 'plogging' in the sports field and to derive important information. In order to achieve this purpose, the news analysis system BIG Kinds provided by the Korea Press Promotion Foundation was used to analyze it. The analysis period is from 2018 to 2022, and 42 of the 5,148 news collected were finally used and analyzed. Frequency analysis, relationship map analysis, and related word analysis were performed as analysis methods, and the results are as follows. First, as a result of the frequency analysis related to 'Plogging' in the sports field, keywords such as 'Jeju', 'Players', 'World Marathon', 'SSG', and 'Lee Bong-ju' were identified. Second, as a result of the analysis of the relationship related to 'Plogging' in the sports field, keywords such as 'COVID-19', 'national representative', 'elite', 'masters', and 'COVID' were identified. Third, as a result of the analysis of words related to 'Plogging' in the sports field, keywords such as 'synthesized words', 'volunteer activities,' 'masters untact', 'Jeju', and 'athletes' were identified. In the domestic professional sports field, it has been shown that plogging is actively used for environmental activities and professional team promotion to practice carbon neutrality by international sports organizations.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.75-94
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• 2010

This study designed a pilot system in which queries can be expanded through a tag ontology where equivalent, synonymous, or related tags are bound together, in order to improve the retrieval effectiveness of videos. We evaluated the proposed pilot system by comparing it to a tag-based system without tag control, in terms of recall and precision rates. Our study results showed that the mean recall rate in the structured folksonomy-based system was statistically higher than that in the tag-based system. On the other hand, the mean precision rate in the structured folksonomy-based system was not statistically higher than that in the tag-based system. The result of this study can be utilized as a guide on how to effectively use tags as social metadata of digital video libraries.

• Phonetics and Speech Sciences
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• v.15 no.1
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• pp.9-17
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• 2023

The purpose of this study is to determine how the Korean diphthong /jo/ shows phonetic variation in various linguistic environments. The pronunciation of /jo/ is discussed, focusing on the relationship between phonetic variation and the distribution range of vowels. The location in a word (monosyllable, word-initial, word-medial, word-final) and word class (content word, function word) were analyzed using the speech of 10 female speakers of the Seoul Corpus. As a result of determining the frequency of appearance of /jo/ in each environment, the pronunciation type and word class were affected by the location in a word. Frequent phonetic reduction was observed in the function word /jo/ in the acoustic analysis. The word class did not change the average phonetic values of /jo/, but changed the distribution of individual tokens. These results indicate that the linguistic environment affects the phonetic distribution of vowels.

• Journal of the Mineralogical Society of Korea
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• v.8 no.2
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• pp.91-107
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• 1995

충남 예산-공주-청양지역의 대흥, 평안, 신양(청당)광산에서 산출되는 녹니석에 관하여 화학적 및 성인적 연구를 하였다. 이들 광상은 초염기성암기원의 사문암이 열수변질작용을 받아 생성되었다. 활석 광석의 주 구성 광물은 활석, 녹니석, 금운모, 각섬석류, 사문석, 탄산염광물 등이고 이밖에 감람석, 휘석류, 크롬철석, 스멕타이트, 녹니석/스멕타이트의 혼합층상광물들과 같은 팽윤성 광물들이 소량 산출된다. 이 중 감람석과 크롬철석은 광상의 초염기성암 기원을 지시하는 중요한 광물이다.녹니석은 활석 광석의 불순 광물 중 가장 많은 양을 차지하는 광물이다. 이들 녹니석은 성인적으로 활석과 밀접하게 연관된 녹니석과 그렇지 않은 녹니석의 두 가지 뚜렷한 타입으로 나뉘어지며 이들은 화학적으로 명확한 차이를 보인다. 전자의 녹니석은 Mg/(Mg+Fe)비가 높으며 매우 일정한 범위의 Mg/(Mg+Fe)qkl (0.784∼0.951/산소수 14 기준)를 보여주고, 높은 8면체 치환양 (0.892 (-0.200∼0.692)/산소수 14, 이상적인 클리노클로어/차모사이트 성분 기준)과 넓은 범위의 Al 함량 변화 (2.975 (1.085∼3.160)/산소수 14 기준), 높은 Cr, Ni 함량을 갖는다. 이들은 매우 제한되고 높은 Mg/(Mg+Fe)비를 갖는 환경에서 생성되었으며 따라서,활석과 밀접하게 연관된 녹니석은 생성시, 주변암에 둘러싸여 있는, 초염기성암 기원의 사문암에 의해 주로영향을 받았다. 후자의 녹니석은 전자의 녹니석에 비하여 Fe 함량이 더 놓으며 광범한 범위의 Mg/(Mg+Fe)비 (0.378∼0.852/산소수 14 기준)를 보여주고, 더 적은 범위의 8면체 치환양 (0.560 (-0.035∼0.525)/산소수 14, 이상적인 클리오클로어/차모사이트 성분 기준)과, 전반적으로는 더 높은 값을 가지면서 더 좁은 범위의 Al 함량 변화 (1.491 (1.468∼2.959)/산소수 14 기준)를 보여주며, 낮은 Cr, Ni 함량을 갖는다. 이들은 낮은 Mg/(Mg+Fe)비를 갖고 전자에 비해 Al이 풍부한 환경에서 생성되었으며, 따라서 활석과 연관되지 않은 녹니석은 생성시 광체와 인접한 화강아질 편마암에 의해 주로영향을 받았을 것으로 생각된다. 녹니석의 이러한 2가지 화학조성상의 경향은 녹니석과 공존하는 운모류나 각섬석류들의 화학분석결과와도 잘 일치한다. 이러한 결과는 이 지역의 활석 광상이 초염기성암 기원의 사문암이 열수변질작용을 받아 생성되었음을 명확하게 지시하며, 따라서 활석 광석내에 존재하는 녹니석은 활석의 근원 광물로서 녹니석편암 및 녹니석 편마암 매의 녹니석이 활석화되고 남은 잔존광물이 아니라, 주변암에 의해 성분상의 영향을 받은 열수와 사문암과의 변질교대작용에 의한 활석화과정 중에 주로 생성된 것으로 추정된다. 이러한 결과는 연구지역의 활석광상이 초염기성암의 사문암화 작용과 활석화 작용의 두 가지 변질작용에 의해 형성되어졌음을 알려준다.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.149-154
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• 2006

The main purpose of document summarization is to reduce the complexity of documents that are consisted of sub-themes. Also it is to create summarization which includes the sub-themes. This paper proposes a summarization system which could extract any salient sentences in accordance with sub-themes by using graph division. A document can be represented in graphs by using chosen representative terms through term relativity analysis based on co-occurrence information. This graph, then, is subdivided to represent sub-themes through connected information. The divided graphs are types of sentence clustering which shows a close relationship. When salient sentences are extracted from the divided graphs, summarization consisted of core elements of sentences from the sub-themes can be produced. As a result, the summarization quality will be improved.