• Journal of the Korean Society of Earth Science Education
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• v.11 no.2
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• pp.145-157
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• 2018

The purpose of this study is to analyze the research trends in domestic related to gifted counseling by utilizing Sementic analysis methods. For papers of gifted education in korea, KCI(Korea Citation Index) rated journals were selected 83 pieces published in journals were collected and the Sementic Network Analysis(SNA) way was utilizing for keyword frequency and Centrality Network Analysis throughout a variety of research articles using krkwic and Ucinet6.0. The results are as follows. first, the analysis appeared that the trends of paper keywords from highest frequency of appearance keyword in papers focused on four keywords: perfectionism, career, counseling, and the science gifted. second, Analysis of annual trends from 2001 to June 2018 showed that the top keywords were as follows: the gifted underachievers, the perfectionism, the gifted students of Science, and the science gifted students. the rising keywords were perfectionism, twice-exceptional students, and gifted parents, and the keywords of gifted students and general students showed a tendency to decrease. Consequently, gifted counseling research should be done from various perspectives.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.1
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• pp.15-31
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• 1996

The purpose of this study was to figure out visual character and preference of roadscape for the main entrance road in Chongju. We took 9.6km which was from the Chongju interchange of Kyungbu expressway to Sangdang park and was thought to have a peculiar characteristics. This main entrance road was seperated into 4 parts according to arranging patterns of roadside trees and buildings. To investigate the visual characters, the sementic differential scale experiment was used. The visual characters, the sementic differential scale experiment was used. The visual preference was examined by analyzing visual volume of 4 factors. The results of the study based on these analyses were as below : 1. Factors that compose the visual characters of roadscape were classified by the emotional factor, the individual factor and the physical factor. These 3 factors showed a64.14% total variance. Among 3 factors the emotional factor which represented psychological reaction was appreciated to be the highest and the physical factor was assessed to be the lowest. 2. 24 items in total 14 adjectives showed the following ranking of mean values in sementic differential experiment : Road I -->RoadIII-->RoadII-->RoadIV. The mean values between Road I and RoadIV showed a significant difference, which can be explained to be a contrast between the natural factor and the artificial factor. 3. The mean value of the visual preference was the highest at Road I and the lowest at Road IV. While Road II and Road III showed 3.51 and 4.71, respectively. 4. The effect of 4 factors on visual preference was analyzed by regression as follows : Visual preference =1.2983+0.0627 + 0.0230+0.0203, R-Square=0.5

• Journal of the Korean Society of Earth Science Education
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• v.11 no.3
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• pp.212-223
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• 2018

The purpose of this study is to investigate the perception of elementary students' 'global environment'. The research method used the Sementic Network Analysis method of the global environment elements which appeared in the students' explanation about the picture and the picture that emerged about the 'global environment'. The results of the study are as follows. First, as a result of analyzing the students' explanation of the pictures along with the pictures of the students, the elementary students were perceived negatively about the global environment such as 'environmental pollution', 'global warming' and 'trash problem'. Second, as a result of analyzing the image of the global environment expressed in the picture, there were many images expressed from a everyday viewpoint rather than a macroscopic viewpoint, and there was a tendency to express the earth personified. In addition, the picture expressing the clean earth environment expressed the most trees with natural environment elements and expressed the healthy earth with various natural elements such as sea, mountain, and land. Third, as a result of analyzing the difference of perception of global environment by grade, it was found that the difference of perception of global environment by grade was not much different.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.176-177
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• 2004

• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.232-234
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• 2004

XML 문서의 요소는 의미적인 정보와 트리기반의 구조적인 정보를 포함하고 있기 때문에 요소의 구조적인 유사성이 곧 XML 문서의 유사성으로 연구되어 왔다. 그러나 구조적이고 순차적인 유사성만을 고려한 순차패턴 유사성 검색 방법은 의미적인(sementic) 유사성을 제대로 반영을 할 수가 없다. 이것은 정보 검색에 있어 재현율(recall)을 낮을 수밖에 없는 원인을 제공한다. 따라서 본 논문에서는 기존에 사용되었던 순차패턴을 기반으로 한 유사성의 계산 방법과 각각의 연구 방법이 의미적인 유사성에 대하여 한계가 있음을 찾아보았다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.95-100
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• 2009

The Semantic Web is an evolving extension of the WWW in which the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. The sementic web relied on the ontologies that structure underling data for the purpose of comprehensive and transportable machine understanding. The Semantic Web relies on the ontologies that structure underlying data for the purpose of comprehensive and transportable machine understanding. And recommendation systems have been developed as a solution to the abundance of choice people face in many situations. This paper shows that the new recommendation method is suitable for effective recommendation on the semantic web. We present a new procedure for improving the effective recommendation by using the levelized context ontology. Our experimental results also confirm that our method has good recommendation time. Our proposed method can be generalized to fit other application domains.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.475-479
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• 2005

In this paper we constructed semantic net that can efficiently conform retrieval and reuse of object-oriented source code. In odor that initial relevance of semantic net was constructed using thesaurus to represent concept of object-oriented inheritance between each node. Also we made up for the weak points in spreading activation method that use to activate node and line of semantic net and to impulse activation value. Therefore we proposed the method to enhance retrieval time and to keep the quality of spreading activation.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• Proceedings of the Korean Society for Information Management Conference
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• 2018.08a
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• pp.133-138
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• 2018

본 연구는 언어네트워크 분석기법을 활용하여 언론보도자료에 나타난 대통령기록물과 관련된 사회적 이슈를 분석하였다. 분석결과를 통해 대통령기록물 관련 이슈의 발생 현황 및 이슈의 구성요소를 파악할 수 있었으며, 대통령기록물 관련 이슈에 대한 시사점 파악 및 관련 연구의 기초자료를 제공하는 것을 목적으로 한다. 이를 위하여 국내 주요 언론사 중 하나인 조선일보를 대상으로, 주제어인"대통령기록물"을 포함하는 관련 기사를 수집하였다. 총 780건의 수집된 보도자료를 대상으로 언어네트워크 분석을 수행하였으며, 분석결과에 대한 시각화를 진행하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.355-356
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• 2021

Geological and biological surveys are conducted every year to investigate the state of tidal flat loss and ecological changes in the Saemangeum embankment. In addition, various activities for forest monitoring and large-scale environmental monitoring are being actively carried out throughout Korea. Due to the recent development of drone technology and artificial intelligence technology, various studies are being conducted to perform these activities more efficiently and economically. In this study, we propose an image segmentation technique using semantic segmentation to efficiently investigate and analyze large-scale ecological environments using Drone.