• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.5
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• pp.974-983
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• 2017

In this paper, we have discussed the search function that can be embedded and used on Android-based applications. We used BM25 to suppress insignificant and too frequent words such as postpositions, Pivoted Length Normalization technique used to resolve the search priority problem related to each item's length, and Rocchio's method to pull items inferred to be related to the query closer to the query vector on Vector Space Model to support implicit feedback function. The index operation is divided into two methods; simple index to support offline operation and complex index for online operation. The implementation uses query inference function to guess user's future input by collating given present input with indexed data and with it the function is able to handle and correct user's error. Thus the implementation could be easily adopted into smartphone applications to improve their search functions.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.4
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• pp.127-151
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• 2014

To search based on the functional classification or provenance is not easy for users, and the key word-based information retrieval presents only simple words matching with the title of the records. The Presidential Archive of Korea developed a subject classification scheme to improve the convenience of searching for various records and came up with a subject thesaurus based on the scheme that utilizes the terms appearing on the title of the records and the terms used by the users who searched the portal or requested information disclosure. This research presents the development process of subject thesaurus. It also presents the utilization methods for records management work and services.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.3
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• pp.25-53
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• 2007

The purpose of this study is to analyze the characteristics of OPAC displays and search interfaces for children. The OPACS of Cheongju Miracle Library, Nowon Children's Library in Seoul. Los Angeles Public Library in the U.S.A. and HelMet Library System in Finland are examined on the basis of 'OPAC Display Guidelines(Draft)' published by IFLA and Nielsen's 'User Interface Design Heuristics'. Discussed are such topics as the features of basic and detailed search screens. the brief display of search results. the arrangement and full display of bibliographic records, and the displays for zero-results and large retrieval sets. The OPAC displays of Cheongju Miracle Library and Nowon Children' Library are not particularly designed to serve children which are their primary users. The OPAC displays for children of LAPL and HelMet Library System are rather simplified and customized to represent specifically the needs and information seeking behavior of children.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.431-436
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• 2020

Information service organizations that provide science and technology information with a relatively short information life cycle for free or paid are in need of reflecting rapidly changing user needs and behaviors and grafting the latest technologies. The purpose of this study is to derive improvements for each system by comparing and analyzing general recognition of science and technology information users' domestic and foreign science and technology information sites and importance by science and technology information attributes. A total of 816 users of science and technology information participated in the online survey, and the collected data were analyzed by quantitative methods including IPA (Importance Performance Analysis) technique. The importance was evaluated by the impact value calculated through regression analysis. As a result of data analysis, the general recognition of users on science and technology information sites was relatively high in national science and technology information services, and Google Scholar and Science Direct were also high. Google Scholar was found to have more strength than improvement. A better understanding of the user's preferred system is a good driving force for improving the lack of existing systems. It is necessary to improve the information retrieval of the science and technology information service system, that is, to improve the search speed and functions, and also to improve the user interface with improved convenience and usability.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.249-276
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• 2010

With the rapid growth and development of information technology and the Internet, the amount of information published in electronic formats such as video, audio, digitalized text, etc. and the number of users accessing information online to satisfy their information needs are growing at a tremendous rate. This study analyzes standardized components to construct ERMS and proposes a model of ERMS based on the result of the analysis. The main functions of ERMS in university libraries are: 1) ERMS can manage and control access information to various electronic resources, metadata, holdings, user resources. Also, ERMS can be compatible with an existing library system such as IR(Information Retrieval) system, linking system, or proxy system. 2) ERMS should completely be compatible with acquisition and cataloging systems for effective management and control of integrated information organization and library budget. 3) ERMS should systematically and effectively manage license information on electronic resources. 4) ERMS should provide ideal and effective environment for use and access control of electronic resources in a library and integrated tool to manage and control all of electronic resources. Additionally, this study points out the need to organize committee groups to establish standardized rules and collaborative management of electronic resources among university libraries like DLF ERMI and redesign organizations in a library and a librarian's job description.

• The Journal of Korean Obstetrics and Gynecology
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• v.33 no.4
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• pp.93-112
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• 2020

Objectives: The purpose of this study is to review the clinical research trends of postpartum pelvic organ prolapse and to recognize the efficacy of Korean medicine intervention. Methods: Based on seven domestic and foreign databases, including Research Information Sharing Service (RISS), Oriental Medicine Advanced Searching Integrated System (OASIS), Journal of Korean Obstetric and Gynecology, Cochrane Library Central, Pubmed, China National Knowledge Infrastructure (CNKI) and WangFang Med Online, we analyzed the clinical trials using Korean medicine intervention, which included acupuncture and herbal medicine. Data retrieval was carried out on May 18 to 20, 2020, and a total of 13 papers were included. Results: All papers were published in China and it contains nine randomized controlled trials, three clinical trials, and one case. The most frequently used intervention was herbal medicine, and Bupleuri Radix, Cimicifugae Rhizoma were used. The treatment group treated by Korean medicine intervention was more effective than the control group. Also, there were no significant side effects of Korean medicine. Conclusion: This study shows that Korean medicine can be effective and safe medical alternatives or options for pelvic organ prolapse patients. However, to laying the foundation of clinical guidelines and applying it to the real-world clinical scene, further follow-up research is needed.

• Health Communication
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• v.12 no.1
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• pp.73-84
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• 2017

Purpose: As the internet use of teenagers become more common, the need for research on the relationship between the internet and youth depression has emerged. The purpose of this study is to investigate the relationship between internet use and adolescent depression. Methods: The subjects of this study were youth attending elementary($6^{th}$ grade), middle($2^{nd}$ grade), and high schools($2^{nd}$ grade) belonging to the Busan Metropolitan City Office of Education. Depression was assessed using the BDI depression scale. Internet functions were classified into 10 categories, and the degree of use by Internet functions was examined. The most frequently used Internet sites were surveyed. Univariate analysis using $X^2$ test and multivariate analysis using logistic regression analysis were conducted to find out the difference of internet and smartphone media function on depression according to elementary, middle and high school students. Results: Depression was higher of 13.2 times for students who use online transactions (goods purchase), 0.07 times for students who use 'bulletin board' activities in elementary students. Depression was higher of 1.55 times for those who use online transactions (purchasing goods), and 2.3 times for those who use adult sites for middle school students. Depression was higher of 2.1 times when using e-mail and 1.9 times when using other information retrieval for high school students. Conclusion: It is necessary to consider characteristics of internet utilizing pattern by school class in policy regulation and prevention program to reduce youth depression.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.63-77
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• 2011

The World Wide Web is a very large distributed digital information space. From its origins in 1991, the web has grown to encompass diverse information resources as personal home pasges, online digital libraries and virtual museums. Some estimates suggest that the web currently includes over 500 billion pages in the deep web. The ability to search and retrieve information from the web efficiently and effectively is an enabling technology for realizing its full potential. With powerful workstations and parallel processing technology, efficiency is not a bottleneck. In fact, some existing search tools sift through gigabyte.syze precompiled web indexes in a fraction of a second. But retrieval effectiveness is a different matter. Current search tools retrieve too many documents, of which only a small fraction are relevant to the user query. Furthermore, the most relevant documents do not nessarily appear at the top of the query output order. Also, current search tools can not retrieve the documents related with retrieved document from gigantic amount of documents. The most important problem for lots of current searching systems is to increase the quality of search. It means to provide related documents or decrease the number of unrelated documents as low as possible in the results of search. For this problem, CiteSeer proposed the ACI (Autonomous Citation Indexing) of the articles on the World Wide Web. A "citation index" indexes the links between articles that researchers make when they cite other articles. Citation indexes are very useful for a number of purposes, including literature search and analysis of the academic literature. For details of this work, references contained in academic articles are used to give credit to previous work in the literature and provide a link between the "citing" and "cited" articles. A citation index indexes the citations that an article makes, linking the articleswith the cited works. Citation indexes were originally designed mainly for information retrieval. The citation links allow navigating the literature in unique ways. Papers can be located independent of language, and words in thetitle, keywords or document. A citation index allows navigation backward in time (the list of cited articles) and forwardin time (which subsequent articles cite the current article?) But CiteSeer can not indexes the links between articles that researchers doesn't make. Because it indexes the links between articles that only researchers make when they cite other articles. Also, CiteSeer is not easy to scalability. Because CiteSeer can not indexes the links between articles that researchers doesn't make. All these problems make us orient for designing more effective search system. This paper shows a method that extracts subject and predicate per each sentence in documents. A document will be changed into the tabular form that extracted predicate checked value of possible subject and object. We make a hierarchical graph of a document using the table and then integrate graphs of documents. The graph of entire documents calculates the area of document as compared with integrated documents. We mark relation among the documents as compared with the area of documents. Also it proposes a method for structural integration of documents that retrieves documents from the graph. It makes that the user can find information easier. We compared the performance of the proposed approaches with lucene search engine using the formulas for ranking. As a result, the F.measure is about 60% and it is better as about 15%.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.143-159
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• 2015

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.8
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• pp.535-542
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• 2013

Since case-based reasoning(CBR) has many advantages, it has been used for supporting decision making in various areas including medical checkup, production planning, customer classification, and so on. However, there are several factors to be set by heuristics when designing effective CBR systems. Among these factors, this study addresses the issue of selecting appropriate neighbors in case retrieval step. As the criterion for selecting appropriate neighbors, conventional studies have used the preset number of neighbors to combine(i.e. k of k-nearest neighbor), or the relative portion of the maximum similarity. However, this study proposes to use the absolute similarity threshold varying from 0 to 1, as the criterion for selecting appropriate neighbors to combine. In this case, too small similarity threshold value may make the model rarely produce the solution. To avoid this, we propose to adopt the coverage, which implies the ratio of the cases in which solutions are produced over the total number of the training cases, and to set it as the constraint when optimizing the similarity threshold. To validate the usefulness of the proposed model, we applied it to a real-world target marketing case of an online shopping mall in Korea. As a result, we found that the proposed model might significantly improve the performance of CBR.