• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.165-189
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• 2012

This study investigated the current state of online subject guides in Korean academic libraries and suggests improvement. Through the examination of 100 academic libraries' Web sites, only 14 online subject guides were identified, showing that the development of online subjects guides in Korea is still in infancy. The examined online subject guides were evaluated as high quality in terms of accessibility, integration of information resources, and format consistency, but low quality in the provision of specialized subjects, user instruction, and information retrieval systems. An online subject guide should be a one-stop service that provides fast access to information resources along with subject-specialized user instruction and effective communication with librarians.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.39-48
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• 2009

This study reviews the limit of image search by considering on the image search methods related to content-based image retrieval and suggests a user interface for more efficient content-based image retrieval and the ways to utilize image properties. For now, most studies on image search are being performed focusing on content-based image retrieval; they try to search based on the image's colors, texture, shapes, and the overall form of the image. However, the results are not satisfactory because there are various technological limits. Accordingly, this study suggests a new retrieval system which adapts content-based image retrieval and the conventional keyword search method. This is about a way to attribute properties to images using texts and a fast way to search images by expressing the attribute of images as keywords and utilizing them to search images. Also, the study focuses on a simulation for a user interface to make query language on the Internet and a search for clothes in an online shopping mall as an application of the retrieval system based on image attribute. This study will contribute to adding a new purchase pattern in online shopping malls and to the development of the area of similar image search.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.3
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• pp.53-67
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• 2018

Local languages based information storage and retrieval system is essential for any online digital repository system. This paper reports the development of an interface in Bengali that allows users not only browsing and searching Indic-script based documents but also allows administrator performing various system level operations. This paper briefly describes the origin and key characteristics of Indic-scripts along with their encoding in Unicode standard with special reference to Bengali language. It also demonstrates the development processes of Bengal-script based information representation and retrieval (IRR) system viz. BURA (Burdwan University Research Archive) using different open standard and open source software (OSS) including different factors essential for building such successful Indic-script based multilingual digital libraries. The suggested strategies may help digital library developers to design an appropriate multi-script based information access services in any other Indic-script based languages.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.1-13
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• 2004

This paper presents a method for the multilingual product retrieval agent through XML and the semantic networks in e-commerce. Retrieval for products is an important process, since it represents interfaces of the customer contact to the e-commerce. Keyword-based retrieval is efficient as long as the product information is structured and organized. But when the product information is expressed across many online shopping malls, especially when it is expressed in different languages with cultural backgrounds, buyers' product retrieval needs language translation with ambiguities resolved in a specific context. This paper presents a RDF modeling case that resolves semantic problems in the representation of product information and across the boundaries of language domains. With adoption of UNSPSC code system, this paper designs and implements an architecture for the multilingual product retrieval agents. The architecture is based on the central repository model of product catalog management with distributed updating processes. It also includes the perspectives of buyers and suppliers. And the consistency and version management of product information are controlled by UNSPSC code system. The multilingual product names are resolved by semantic networks, thesaurus and ontology dictionary for product names.

• Journal of KIISE
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• v.43 no.8
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• pp.927-932
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• 2016

With the explosive increase in the number of online medical documents, the demand for question-answering systems is increasing. Recently, question-answering models based on machine learning have shown high performances in various domains. However, many question-answering models within the medical domain are still based on information retrieval techniques because of sparseness of training data. Based on various information retrieval techniques, we propose an answer snippet retrieval model for question-answering systems of medical documents. The proposed model first searches candidate answer sentences from medical documents using a cluster-based retrieval technique. Then, it generates reliable answer snippets using a re-ranking model of the candidate answer sentences based on various sentence retrieval techniques. In the experiments with BioASQ 4b, the proposed model showed better performances (MAP of 0.0604) than the previous models.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of the Korea Fashion and Costume Design Association
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• v.20 no.4
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• pp.57-71
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• 2018

Since consumers have become more comfortable with providing and receiving information online, 'online word of mouth' has been gaining consideration as one of the major information sources. Also, the shopping orientation of consumers has been proven to be an important determinant of consumer behavior. Therefore, the study investigated the differences in online WOM behavior based on shopping orientation. Hedonic, loyal, and syntonic styles were the types of shopping orientation considered, and the study focused on information retrieval tendencies, the motivation of online WOM search, searching online WOM sources, and the contents for the online WOM behavior. The research conducted an off-line survey targeting females in their twenties. The total number of data sets used in the empirical study was 125, and these were analyzed by SPSS 20.0: factors analysis, Cronbach's ${\alpha}$, k-means cluster, ANOVA, Duncan's multiple range test, Kruskal-Wallis, Mann-Whitney, and Bonferroni correction. The participants were divided into 3 kinds of shopping orientation groups named 'trend-pursuit', 'passive', and 'loyal'. As a result, there were significant differences in online WOM behavior discovered between the groups. Firstly, the 'trend-pursuit' group had the highest number of ongoing searches while the 'loyal' group had the highest number of pre-purchase search. Secondly, the 'trend-pursuit' and 'loyal' groups both had the motivations of online WOM search, hedonic and utility, whereas the 'passive' group had the lowest motivations for both motivations. Thirdly, the 'loyal' group frequently referred to reviews on shopping malls as online WOM sources. The research provided a better understanding of the online WOM behavior of present consumers and suggests that fashion related corporations map out marketing strategies with the understanding of these behaviors.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.3
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• pp.415-428
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• 2007

본 연구는 인지양식이 온라인 학습의 성취도에 영향을 미치는 요인중의 하나라는 선행연구 결과들을 토대로, 인지양식이 온라인 정보탐색능력에도 영향을 미치는지 그리고 어떤 다른 개인적인 특성들이 온라인 정보탐색행위와 연관성이 있는지 고찰 하였다. 연구 대상은 대학원 석사과정과 박사과정에 재학중인 학생 36명이었으며, 인지양식검사와 Ellis와 Haugan (1997)의 정보탐색행위 모델에 근거하여 연구자에 의해 제작된 설문조사를 실시하였다. 학생들에게 연구 주제를 주고 온라인상에서 정보를 탐색하도록 시켰으며, 이들의 정보탐색행위 과정과 특성을 관찰하고 기록하였다. 인지양식검사 결과와 설문조사 결과를 양적 분석하고, 정보탐색행위 과정과 특성에 관한 질적 분석한 결과에 의하면, 개인의 인지양식과 온라인시스템을 이용한 정보탐색능력과는 아무런 상관관계가 없었다. 반면에, 정보탐색행위는 컴퓨터 이용 능력, 온라인 도서관 시스템 사용경험/능력과 상관관계를 보였다. 또한 검색한 정보에 대한 만족도는 정보탐색에 보내는 시간과 반비례 상관관계를 가지며, 대부분의 학습자들이 총 8단계의 정보탐색과정 중 " Browsing" 단계에 대부분의 시간을 보내는 것으로 관찰 되었다. 끝으로 대부분의 학생들이 도서관 시스템 사용능력에 높은 효능감을 보였지만, 학교 온라인도서관 시스템이 사용하기 편리하지 않도록 설계되어있다고 대답했으며, 자신들의 연구를 위해서 인터넷 검색엔진보다는 도서관 데이터베이스를 더 자주 사용하고 있는 것으로 나타났다.

• Journal of Information Management
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• v.24 no.3
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• pp.31-56
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• 1993

In order to respond to the public needs to utilize the newspapers as high-valued information resources, the number of the commercially available news items which are transformed into a form of database has been remarkably increased by the introduction of CTS into the newspaper companies. As for the domestically available Japanese and foreign newspaper article database, explanations are given to the following items. 1) Characteristics of database, such as date of coverage, frequency updating, time-lag, news sources, search terms, available information, etc. 2) Matters to be noticed at the utilization. 3) Pattern of utilization depending on the object of the investigation, such as the investigation of company, market trend, etc. Since the newspaper article database will be available in a form of digitized information, making the combination with the inter-company LAN system possible, increased opportunities to use it in near future are expected.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.57-64
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• 2020

The widespread use of smartphones with a variety of features has enabled mobile Internet-based services. One of these is online-to-offline (O2O) based services that connects online users with offline stores to add value. Applying this O2O strategy to local information retrieval induces online users to be linked to offline regions, thereby enabling the exchange of local-based information and helps create new value. This paper proposes and illustrates the implementation of O2O-based a local information providing service that utilizes photos of the local attraction. Also, we propose a fake-free ranking method to provide reliable local information to users and suggest its application of the service.