• Journal of the Korean Society for information Management
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• v.31 no.2
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• pp.79-97
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• 2014

This study was to evaluate the quality of academic information services provided by Naver Academic Information Service, Google Scholar, and MS Academic Search. This academic information services were evaluated in terms of the contents, service, and effectiveness. 135 four year college students were recruited for the survey. The results showed that the Google Scholar in contents section had higher score than Naver and MS Academic Search. In regard to service, Google Scholar had higher score in retrieval section while Naver had higher score in design section respectively. Finally, both Google Scholar and Naver in the access section had higher score than MS Academic Search.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.181-195
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• 2009

This study aims to perform an evaluation of the book services and academic information services provided by the major search portals of Korea and the United States. This study also investigates the relationships between search portals and academic libraries. The results of this study can be implemented for the development and improvement of the portals' book and academic information services. Users can refer to the results of this study in choosing services from search portals. The results of this study can also provide implications for the differentiation of academic library services.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.2
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• pp.133-156
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• 2012

This study aims to develop and evaluate the authority data-based academic retrieval system that may provide search tools and additional information for search of academic papers with users. To evaluate the usability of authority data-based academic paper search system, this work studied 60 subjects who had experienced the academic paper service to measure their satisfaction on both search efficiency and system usability and additionally analyzed whether the difference between search efficiency and system availability is significant in the experimental search system among user groups. As a result, the authority data-based academic paper search system was analyzed to show a higher search efficiency and user satisfaction than the ordinary system.

• International Journal of Knowledge Content Development & Technology
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• v.2 no.2
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• pp.17-29
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• 2012

All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

• Korean Journal of School Psychology
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• v.16 no.2
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• pp.159-187
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• 2019

The purpose of this study was to shed light on a role of hope in understanding the relationship between the search for meaning in life and academic satisfaction and to suggest ways to increase hope among Korean students. We hypothesized that the relationship between search for meaning in life and academic satisfaction would be mediated by hope and the positive relationship between search for meaning and hope would be strengthened by family support and friend support. We conducted two surveys to examine the hypotheses. Based on Study 1 using a sample of 190 undergraduate students, we found that the relationship between search for meaning in life and academic satisfaction was fully mediated by hope. In Study 2, we examined the four types of hope that include internal hope and three types of external hope (i.e., family, friends, and supernatural being) to extend knowledge on what features of hope mediate the relationships between search for meaning and academic satisfaction. Study 2 based on a sample of 313 high school students showed that the link from the search for meaning in life and academic satisfaction was fully mediated by internal hope and external-peers hope. The mediating effects of external-family hope and external-spiritual hope were not significant in Study 2. Also, we found that family support strengthened the positive links from the search for meaning in life to hope (Study 1) and to internal hope (Study 2) while the interactive effects of friend support and the search for meaning on hope were not significant in both studies. Based on the results, we discussed several implications, limitations, and recommendations for future research.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.458-467
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• 2016

An expert search method using a large amount of academic data that can provide users with representative research results and advice is required. Since the existing expert search methods perform the expert search based on user profile or activity information, they have a problem that it is hard to discriminate the expert when we do not know the user profile or activity information. In this paper, we propose an academic expert search method using the importance and quality of a paper. The importance of a paper is computed by considering its scarcity and up-to-date topics. The quality of a paper is evaluated by considering the number of citations, IF of Journal, recency and author relations. To show the superiority of the proposed method, we compare it with the existing scheme through the performance evaluation in terms of recall and precision.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.2
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• pp.157-178
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• 2017

The objective of this study is to investigate college student search behavior in an academic library. The theory of planned behavior was applied for identifying relationship among variables on search behavior. Data were collected in an university. For data analysis, ANOVA, factor analysis, regression analysis, cluster analysis were used. The result shows: the theory of planned behavior can be used for finding search intention in an academic library. Student major and library use frequency are different statistically in attitudes, perceived behavioral control, behavioral intention. Student characteristics are divided into four types: conservative, independent, friendship, fashion. Friendship type of students influences search behavior. From cluster analysis, the cluster included friendship and independent types of students and students who have high frequency of library use has more active intention for search in academic library.

• Journal of Information Science Theory and Practice
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• v.10 no.4
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• pp.3-22
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• 2022

This paper provides an overview of the emergence of resource discovery systems and services, along with their advantages, best practices, and current landscapes. It outlines some of the key services and functionalities of a comprehensive discovery model suitable for academic libraries in developing countries. The proposed model (VuFind as a discovery tool) performs like other existing web-scale resource discovery systems, both commercial and open-source, and is capable of providing information resources from different sources in a single-window search interface. The objective of the paper is to provide seamless access to globally distributed subscribed as well as open access resources through its discovery interface, based on a unified index. This model uses Koha, DSpace, and Greenstone as back-ends and VuFind as a discovery layer in the front-end and has also integrated many enhanced search features like Bento-box search, Geodetic search, and full-text search (using Apache Tika). The goal of this paper is to provide the academic community with a one-stop shop for better utilising and integrating heterogeneous bibliographic data sources with VuFind (https://vufind.org/vufind).

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.1
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• pp.83-91
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• 2010

Purpose: The purpose of this study was to investigate the effects of satisfaction in major and career search efficacy on nursing students' career search behavior. Method: Data were collected from 544 students by means of self reported questionnaires about satisfaction in major, career search efficacy and career search behavior from March 2 to April 5, 2010. Result: The average score of satisfaction in major, career search efficacy and career search behavior was 3.61, 3.37, and 2.39 respectively. There were positive correlations between satisfaction in major and career search behavior, between career search efficacy and career search behavior, and between satisfaction in major and career search efficacy. Satisfaction in major and career search efficacy were significant predictors of career search behavior. Conclusion: It is necessary to develop an effective intervention program to improve nursing student's satisfaction in major, career search efficacy and career search behavior.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.490-498
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• 2010

In the web or not, all academic information have the creator which produces that information. The creator can be individual, organization, institution, or country. Most information consist of the title, author and content. The article among academic information is described by title, author, keywords, abstract, publisher, ISSN(International Standard Serial Number) and etc., and the patent information is consisted some metadata such as invention title, applicant, inventors, agents, application number, claim items etc. Most web-based academic information services provide search functions to user by processing and handling these metadata, and the search function using the author field is important. In this paper, we propose an effective indexing management for person name search, and search techniques using boosting factor and near operation based on phrase search to improve precision rate of search result. And we describe person name retrieval result with another expression name, co-authors and persons in same research field. The approach presented in this paper provides accurate data and additional search results to user efficiently.