• Spatial Information Research
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• v.16 no.3
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• pp.303-315
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• 2008

This study is aimed at the surveys of cultural relics and GIS based searching system which have been partially performed in each region. The goal of this research is to construct the cultural relics management system of region and to present the plan for a nationwide data integration. Consequently, based on the standard which presents from Cultural Properties Administration constructed a spatial and attribute data. And presented the model which matches national standard for a cultural property GIS integration. Also minimized a damage possibility about the cultural ruins, confirmed an application possibility about cultural ruins information of the local government.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.118-126
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• 2003

In data mining, having access to large amount of data sets for the purpose of predictive data does not guarantee good method, even where the size of Real data is Mobile commerce unlimited. In addition to searching expected Goods objects for Users, it becomes necessary to develop a recommendation service based on XML. In this paper, we design the optimized XML Recommender product data. Efficient XML data preprocessing is required, include of formatting, structural, and attribute representation with dependent on User Profile Information. Our goal is to find a relationship among user interested products from E-Commerce and M-Commerce to XDB. Firstly, analyzing user profiles information. In the result creating clusters with analyzed user profile such as with set of sex, age, job. Secondly, it is clustering XML data which are associative products classify from user profile in shopping mall. Thirdly, after composing categories and goods data in which associative objects exist from the first clustering, it represent categories and goods in shopping mall and optimized clustering XML data which are personalized products. The proposed personalized user profile clustering method has been designed and simulated to demonstrate it's efficient.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.109-117
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• 2019

This study analyzed the effects of social support and career decision self-efficacy that can have effects on career based on career-interrupted women's perception on career preparation behaviors and mediating effects of the career decision self-efficacy. This study surveyed 227 career-interrupted women who participated in job training or registered for job searching in woman employment support organizations using a self-reported type questionnaire. The results are presented: First, social support was found to have a significant correlation with career decision self-efficacy and career preparation behavior. Second, discovered that emotional support as sub-factors of social support had a significant effect on career preparation behaviors. Third, discovered that goal setting and job information as sub-factors of career decision self-efficacy had a significant effect on career preparation behaviors. Fourth, career decision self-efficacy, there was a partial mediating effect between social support and career preparation behaviors. The results presented above suggested that in respect to career guidance for career-interrupted women, a focus should be given to psychological aspects than technological.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.111-124
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• 2008

The development in information technology allowed most of the information around us into digital information, in other words, a database. The innovation increased the accessibility and helped this society change into an informational age. However, there is a shortcoming of this open source as the users have difficulty in assorting the information that s/he needs and realizing if the information provided is important. Therefore, the need for search engine has risen in such a way to increase the accessibility and facilitation of information provided to the users through searching the necessary information in the database by an easy and accurate way. This aim of study should propose the important design attribute to increase the utilization of search engine through relationship analysis between purpose of user and interface design factors of search engine. In other words, these attributes, as design guideline, could apply to the search engine interface design considering of user's search goal. For this, the purpose in using the search engine and types of search engine interfaces were categorized and correlated the relationships. The search engine interface suggested from the result provides interface that allows efficient search for desired information and embrace a variety in users, eventually increasing the usability in search engine.

• Journal of the Korean Home Economics Association
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• v.40 no.2
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• pp.143-159
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• 2002

Consumer Education Policy for -Focusing on developing Social support System- The purpose of this research is to understand the change of future consuming environment and the characteristics of future potential consumer: the net generations. With those research results, we deduced our goal, content and method of consumer education for these net generations. Finally, I suggested a scheme of the social construction by demand of our future society. Literature review and depth interview are used for this research. The main factors of the change of our future consuming environment are Digitalization, globalization, improvement of consumer sovereignty, Sustainable consumption culture, the increasing pursuit of safe life. It is necessary to educate our future consumer, net generations, the information searching skills in order to be able to obtain right information. We also need to educate them how to practice the safe life and Sustainable consumption and how to get consumers sovereignty. The method of the education requires interchangeable communication. We need social networking system for the support of consumer education, in order to build this social system. We need an administrative support from the government and financial support from corporations. We have suggested that it is very desirable to share all the information developed among Academic field, Consumer related organizations and schools by this network be build.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.45-56
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• 2022

Recently, the airport operator provides information such as real-time airport processing status, which allows users to determine the time to arrive at the airport at their own judgment. It is provided through their website and mobile Apps in order to resolve the customer's failure to board the aircraft and the inconvenience caused by waiting for the airport, etc. However, there was a lack of research cases on the intention of users to continue using such real-time airport information. Therefore, research on the field was studied by applying flow and trust theory based on human emotions. The research method verified reliability, validity, correlation between variables, and hypotheses using structural equations. As a result of the study, it was found that flow and trust had a significant effect on the intention to continue using. In other words, passengers were intended to continue to use the behavior they were searching for when they felt wise, enjoyable, and reliable etc.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.33-38
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• 2005

The goal of this study is to segment building points effectively utilizing scan-line characteristics of airborne laser scanner. Points are classified as to their altitude similarity and adjacency with other classified points, and point searching range for the classification is restricted within some number of scan-lines, preventing classification speed from lowering as the process goes on. Besides, we detected wrong discrimination of one object into more than two classes, then integrated them into a single class. Consequently we could discriminate points of each building from others, its annexes and none building points simultaneously.

• Journal of Korea Multimedia Society
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• v.22 no.3
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• pp.374-385
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• 2019

A Web Crawler is a program, which is commonly used by search engines to find the new brainchild on the internet. The use of crawlers has made the web easier for users. In this paper, we have used unstructured data by structuralization to collect data from the web pages. Our system is able to choose the word near our keyword in more than one document using unstructured way. Neighbor data were collected on the keyword through word2vec. The system goal is filtered at the data acquisition level and for a large taxonomy. The main problem in text taxonomy is how to improve the classification accuracy. In order to improve the accuracy, we propose a new weighting method of TF-IDF. In this paper, we modified TF-algorithm to calculate the accuracy of unstructured data. Finally, our system proposes a competent web pages search crawling algorithm, which is derived from TF-IDF and RL Web search algorithm to enhance the searching efficiency of the relevant information. In this paper, an attempt has been made to research and examine the work nature of crawlers and crawling algorithms in search engines for efficient information retrieval.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.72-74
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• 2022

The National Science and Technology Knowledge Information Service (NTIS) provides information on national R&D projects. Project information consists of meta-information such as 'project name', 'project performance institution', 'research manager name', and text explaining projects such as 'research goal', 'research content', and 'expected effect'. There is a problem that it takes a lot of time to find the desired project information by checking all of the "research goals" or "research contents" in the list of results of searching for 1 million project information. To solve this problem, this paper proposes a project information summary system that summarizes the parts consisting of long texts within the national R&D project information. By analyzing the linguistic characteristics of the Korean language, a preprocessor was built and a project information summary model based on natural language processing technology was developed to process preprocessed text information. Through this, project information composed of long sentences is provided in a compressed and summarized form, which will help users to easily and quickly infer the overall content with the summary information alone.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.275-301
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• 2021

The purpose of the research is to find out both what information tweens (12~14 years old adolescents) need and how they use YouTube to satisfy with their information needs. In order to achieve the goal, the research collected the data by conducting a survey on tweens (N=130) and analyzed the data with statistical processes. The research found out some significant results: first, tweens frequently use the informaton on YouTube and search for leisure information most often. Second, tweens search for information on YouTube because of ease and convenience on learning information even though they do not trust the information on YouTube. Third, tweens regard that YouTube play the role as a significant information source and searching tool, and use information on YouTube because the information on YouTube are composed of easy-to-understand video format. On the basis of the results, the research suggests and discusses how information organization such as public or school libraries provide information services for youth groups effectively.