• Journal of Korean Library and Information Science Society
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• v.34 no.4
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• pp.227-252
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• 2003

This study is to analyze the historical developments of references on cataloging rules. References is named cross reference on The Panizzi' and Jewett' Report and defined at Rules for a Dictionary Catalog by Charles A. Cutter. References is developed to “see reference”, “see-also reference”, “name-title reference”, and “explanatory reference” on AACR2. References have traditionally been regarded as syndetic devices, making it possible to retrieve and connect related works. Conclusionally, it functions as a tool which directly connect all the works related but in different formats of a same author name and a same title name. In online catalogues, it means that the role and function of references have increasingly become extended to be very important.

• Journal of Korean Library and Information Science Society
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• v.43 no.1
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• pp.143-171
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• 2012

The primary questions addressed by this research are the followings: Have the OPAC interfaces of children's libraries been designed user-friendly; What difficulties have OPAC searchers experienced in using OPACs; How do they perceive the system after searching it; Through the answers of those questions the problems of OPACs for children as searching tools have been grasped and recommendations have been suggested in order to improve the OPAC interfaces. An experiment was conducted and 28 children of grades 4 to 6 performed 5 searching tasks. The searching behavior of OPAC searchers has been analyzed thoroughly. The data of their perceptions about the system was collected through a questionnaire after completing the tasks.

• Journal of Korean Library and Information Science Society
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• v.35 no.1
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• pp.303-317
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• 2004

The purpose of this study was to develop a framework for predicting searching performance through an understanding of how cognitive ability relates to searching process and outcome. Specifically, this study examined the relationship between spatial visualization, logical reasoning, integrative reasoning, and information searching process and outcome. Information searching process was assessed by seven search process indicators: (1) search command selection: (2) combination of search commands; (3) application of Boolean logic: (4) application of truncation; (5) use of limit search function; (6) number of search statements; and (7) number of search errors made. Searching outcome was assessed by the number of correct answers to search questions. Subjects first took three standardized cognitive tests that measured cognitive abilities, and performed online catalog searching in response to seven information search questions. The searches were logged using Lotus ScreenCam, and reviewed for the analysis. Factor analysis was used to find underlying structures of the seven search process variables. Multiple regression analysis was applied to examine the predictive power of three cognitive variables on three extracted factors, and search outcome. Results of the data analysis showed that individual differences in logical reasoning could predict information searching process and outcome.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.1
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• pp.7-26
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• 1998

In this study, an ILL request system was implemented using Z39.50 item order extended service. ILL requests in this system are initiated by users through a gateway acting as a Z39.50 origin for searching remote catalog databases. When users initiate a request while searching OPACs of other libraries, an extended service request PDU for item order is first sent to the home library which subsequently generates an ILL protocol message to be sent to the target library. This approach enables users to request an item online while searching. and at the same time allows the home library to retain control over the ILL transaction.

• Journal of the East Asian Society of Dietary Life
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• v.27 no.5
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• pp.558-568
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• 2017

This study was conducted to examine the level of exposure, credibility and usefulness of the food tourism information channel perceived by foreign tourists visiting Korea. A total of 230 survey questionnaires were distributed to Japanese and Chinese tourists, who account for the highest percentage of tourists visiting Korea. The results showed that tourists were segmented into three groups based on their participation in food tourism activities: culinary tourists, experiential tourists and general tourists. Japanese tourists participated more actively in food tourism activities than Chinese tourists. The information channel used most frequently by tourists was 'word-of-mouth,' while the least used channel was 'e-mail catalog contains food tourism information.' Culinary tourist most actively used online and offline channels to search for food tourism information. Perceived credibility and usefulness of the food tourism information channel differed by nationality and food tourist segments. This study provides meaningful implications regarding food tourism promotion strategies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.209-233
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• 2012

In this study in order to verify the overall information seeking behavior of the Web-based OPAC users, it was analyzed transaction log file for 7 years. Regarding Web-based OPAC information seeking behavior, it was studied from the perspective of information seeking strategy and information seeking failure. In search strategy, it was analyzed search type, search options, Boolean operator, length of search text, number of uses of word, number of use Web-based OPAC, number of use by time, by week day. Also, in search failure, search failure ratio, search failure ratio by search options, search failure ratio by Boolean operator were analyzed. The result of this study is expected to be utilized for OPAC system and service improvement in the future.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.35-57
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• 2021

This paper is to grasp the current trends of national bibliographies through analyzing representative national bibliographies using literature review, analysis of national bibliographies' web pages and survey. First, in order to conform to the definition of a national bibliography as a record of a national publication, it attempts to include a variety of materials from print to electronic resources, but in reality it cannot contain all the materials, so there are exceptions. It is impossible to create a general selection guide for national bibliography coverage, and a plan that reflects the national characteristics and prepares a valid and comprehensive coverage based on analysis is needed. Second, cooperation with publishers and libraries is being made to efficiently generate national bibliography. For the efficiency of national bibliography generation, changes should be sought such as the standardization and consistency, the collection level metadata description for digital resources, and the creation of national bibliography using linked data. Third, national bibliography is published through the national bibliographic online search system, linked data search, MARC download using PDF, OAI-PMH, SRU, Z39.50, and mass download in RDF/XML format, and is integrated with the online public access catalog or also built separately. Above all, national bibliographies and online public access catalogs need to be built in a way of data reuse through an integrated library system. Fourth, as a differentiated function for national bibliography, various services such as user tagging and national bibliographic statistics are provided along with various browsing functions. In addition, services of analysis of national bibliographic big data, links to electronic publications, and mass download of linked data should be provided, and it is necessary to identify users' needs and provide open services that reflect them in order to develop differentiated services. Through the current trends and considerations of the national bibliographies analyzed in this study, it will be possible to explore changes in national and international national bibliography.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.4
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• pp.249-274
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• 1998

It is the analyses of replies showed n the questionnaire consisted of four kinds of matters to see level of knowledge among SELIS (SEoul Women's University Library and Information System) OPAC users of keyword/boolean search. The result of this analyses is : in SELIS search, users who prefer keyword search than any other, who satisfy work of retrieval by means of boolean operator, and who think it easier, show lusher level of knowledge than those who deny it in the questionnaire. Knowledges Presented in the survey are ; characteristics of keyword search, single or double keys, using boolean operator in keyword, knowledge of index, knowledge of stop list, uncontrolled term. keyword search technique, right truncation, correct application of boolean logic operator, and selecting major subject in keyword browsing. The above mentioned knowledges will work as important factors n keyword/boolean search, OPAC. For successful search it requires conceptional knowledge of information retrieval processing, or inquiry word transformation how to search required information, and semantic ability to get result questioned In the given system, when and how to apply the characteristics of the system, and scientific record for user's inquiry, or fundamental computer technology and syntax knowledge to make search word in detail. But so far now important knowledge considered as user's online index search, has been emphasized on knowledge of scientific record, and has been lag of semantic and conceptional knowledge. So, it is recommendable for online index user to train to concentrate semantic knowledge, syntax ability, and conceptional knowledge, rather than scientific technique too much.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.2
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• pp.371-392
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• 2008

The books and circulation-related data in the Online Public Access Catalog System of the H-Public library were collected and analyzed in this paper. The methods which may be applied to the Customer Relationship Management in a public library based on the results were also suggested here. Collected data were 57,927 bibliographic data of books, 11,871 patron data and 27,145 circulation records. The type of collections. circulation frequencies, total number of circulated books, publication year, and use factor as relation factor from the analyzed data of circulation records were extracted. They were also analyzed, and verified by various statistical methods such as correlation coefficient, non-parametric method, etc.