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A Study on a Facet-Based Ontology Design for Archival Records of Finding Dispersed Families (이산가족 찾기 기록 패싯 기반 온톨로지 모델 설계에 관한 연구)

  • Lee, Eun Uk;Park, Heejin
    • Journal of Korean Society of Archives and Records Management
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    • v.18 no.4
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    • pp.231-257
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    • 2018
  • This paper aims to suggest a facet-based ontology model that can help sort and access records of dispersed families to address these problems. The facet systematically defines the categories of target concepts, which can create diverse and multiple access points. Using the top-down and bottom-up approaches, the facets, which consist of five upper classes and 18 lower classes, were derived for the records of dispersed families. The proposed ontology model was evaluated by real users. The results show that, overall, the ontology is complete and relevant in terms of access points, availability of context information of the records, and description elements for search and use of the records on dispersed families.

A Deep Learning Approach for Identifying User Interest from Targeted Advertising

  • Kim, Wonkyung;Lee, Kukheon;Lee, Sangjin;Jeong, Doowon
    • Journal of Information Processing Systems
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    • v.18 no.2
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    • pp.245-257
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    • 2022
  • In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.

An Exploratory Investigation on Multimedia Information Needs and Searching Behavior among College Students (멀티미디어 정보요구와 검색행태에 관한 탐색적 연구)

  • Chung, Eun-Kyung
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.3
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    • pp.251-270
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    • 2012
  • Multimedia needs and searching have become important in everyday life, especially in a younger generation. The characteristics of multimedia needs and searching behaviors are distinctive compared to textual information needs and searching behaviors in a wide variety of ways. By interviewing and observing multimedia needs and searching behaviors of college students from 20 areas in Seoul, this study aims to improve the understanding on users' multimedia needs and how users search multimedia. The findings are presented in terms of searching sources, multimedia needs, relevance criteria and searching barriers. For multimedia, the searching sources are found primarily as Naver and Google and the distinguished features are presented depending on the individual multimedia types. As multimedia needs are categorized into generic, specific and abstract, most of the needs are classified as specific needs rather than generic needs, but there exist differences depending on the types of multimedia. In addition, the aspects of relevance criteria and searching barriers are reflected with the characteristics of individual multimedia types. The findings of this study demonstrate that distinctive indexing and searching environments depending on the types of multimedia might be necessary to improve the quality of multimedia searching.

App Recommendation Based on Characteristic Similarity (특성 유사도 기반 앱 추천)

  • Kim, Hyung-Il
    • Journal of Digital Contents Society
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    • v.13 no.4
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    • pp.559-565
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    • 2012
  • The remarkable development of IT is contributed to popularization of smart phones, which in turn creates a new domain called app store. Smartphone apps have grown fast because they can be easily purchased through an app store. As the volume of apps traded in app stores is so huge that it is extremely hard for users to find the exact app they want. In general, an app store recommends an app to users based on the search words they entered. In terms of recommendation of app, this kind of content-based method is not effective. To increase accuracy in recommending app, this paper proposes a characteristic similarity-based app recommendation method. This method creates attributes on the app based on the related information such as genre, functionality and number of downloads and then compares them with the propensity to use the app. According to diverse simulations, the method proposed in this paper improved the performance of app recommendation by 33% in average, compared to the conventional method.

TK-Indexing : An Indexing Method for SNS Data Based on NoSQL (TK-Indexing : NoSQL 기반 SNS 데이터 색인 기법)

  • Shim, Hyung-Nam;Kim, Jeong-Dong;Seol, Kwang-Soo;Baik, Doo-Kwon
    • The KIPS Transactions:PartD
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    • v.19D no.4
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    • pp.271-280
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    • 2012
  • Currently, contents generated by SNS services are increasing exponentially, as the number of SNS users increase. The SNS is commonly used to post personal status and individual interests. Also, the SNS is applied in socialization, entertainment, product marketing, news sharing, and single person journalism. As SNS services became available on smart phones, the users of SNS services can generate and spread the social issues and controversies faster than the traditional media. The existing indexing methods for web contents have limitation in terms of real-time indexing for SNS contents, as they usually focus on diversity and accuracy of indexing. To overcome this problem, there are real-time indexing techniques based on RDBMSs. However, these techniques suffer from complex indexing procedures and reduced indexing targets. In this regard, we introduce the TK-Indexing method to improve the previous indexing techniques. Our method indexes the generation time of SNS contents and keywords by way of NoSQL to indexing SNS contents in real-time.

Development of a Voice User Interface for Web Browser using VoiceXML (VoiceXML을 이용한 VUI 지원 웹브라우저 개발)

  • Yea SangHoo;Jang MinSeok
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.2
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    • pp.101-111
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    • 2005
  • The present web informations are mainly described in terms of HTML, which users obtain through input devices such as mouse, keyboard, etc. Thus the existing GUI environment have not supported human's most natural information acquisition means, that is, voice. To solve the problem, several vendors are developing voice user interface. However these products are deficient in man -machine interactivity and their accommodation of existing web environment. This paper presents a VUI(Voice User Interface) supporting web browser by utilizing more and more maturing speech recognition technology and VoiceXML, a markup language derived from XML. It provides users with both interfaces, VUI as well as GUI. In addition, XML Island technology is applied to the bowser in a way that VoiceXML fragments are nested in HTML documents to accommodate the existing web environment. Also for better interactivity, dialogue scenarios for menu, bulletin, and search engine are suggested.

An Empirical Study on the User Experience Model of Music Streaming Service (음악 스트리밍 서비스 사용자 경험 모델에 관한 실증 연구)

  • Lee, Jeonga;Kim, Hyung Jin;Lee, Ho Geun
    • Informatization Policy
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    • v.30 no.3
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    • pp.92-121
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    • 2023
  • As music streaming services (MSS) involve various interactions with users during the music consumption process, it is important to understand the user experience and manage the service accordingly. This study developed a user experience model for MSS by theoretically linking the quality characteristics considered important by music service users with the structure of user experience. PLS analysis was then performed using survey data to test the model. As a result, functionality (search, browsing, and personalized recommendation), UI usability, content quality (currentness, sufficiency, relevance), and monetary cost were found to be key experience factors that determine the experience consequence, i.e., user satisfaction. In addition, in a supplementary analysis comparing domestic and global services, differences in user experience were found between the two groups in terms of functionality and content quality. The user experience model of MSS proposed in this study serves as a new foundation for theory-based research in this field and provides meaningful implications for the competitive landscape among music streaming service platforms and for their competitive strategies.

A Qualitative Study on Facilitating Factors of User-Created Contents: Based on Theories of Folklore (사용자 제작 콘텐츠의 활성화 요인에 대한 정성적 연구: 구비문학 이론을 중심으로)

  • Jung, Seung-Ki;Lee, Ki-Ho;Lee, In-Seong;Kim, Jin-Woo
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.43-72
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    • 2009
  • Recently, user-created content (UCC) have emerged as popular medium of on-line participation among users. The Internet environment has been constantly evolving, attracting active participation and information sharing among common users. This tendency is a significant deviation from the earlier Internet use as an one-way information channel through which users passively received information or contents from contents providers. Thanks to UCCs online users can now more freely generate and exchange contents; therefore, identifying the critical factors that affect content-generating activities has increasingly become an important issue. This paper proposes a set of critical factors for stimulating contents generation and sharing activities by Internet users. These factors were derived from the theories of folklores such as tales and songs. Based on some shared traits of folklores and UCC content, we found four critical elements which should be heeded in constructing UCC contents, which are: context of culture, context of situation, skill of generator, and response of audience. In addition, we selected three major UCC websites: a specialized contents portal, a general internet portal, and an official contents service site, They have different use environments, user interfaces, and service policies, To identify critical factors for generating, sharing and transferring UCC, we traced user activities, interactions and flows of content in the three UCC websites. Moreover, we conducted extensive interviews with users and operators as well as policy makers in each site. Based on qualitative and quantitative analyses of the data, this research identifies nine critical factors that facilitate contents generation and sharing activities among users. In the context of culture, we suggest voluntary community norms, proactive use of copyrights, strong user relationships, and a fair monetary reward system as critical elements in facilitating the process of contents generation and sharing activities. Norms which were established by users themselves regulate user behavior and influence content format. Strong relationships of users stimulate content generation activities by enhancing collaborative content generation. Particularly, users generate contents through collaboration with others, based on their enhanced relationship and specialized skills. They send and receive contents by leaving messages on website or blogs, using instant messenger or SMS. It is an interesting and important phenomenon, because the quality of contents can be constantly improved and revised, depending on the specialized abilities of those engaged in a particular content. In this process, the reward system is an essential driving factor. Yet, monetary reward should be considered only after some fair criterion is established. In terms of the context of the situation, the quality of contents uploading system was proposed to have strong influence on the content generating activities. Among other influential factors on contents generation activities are generators' specialized skills and involvement of the users were proposed. In addition, the audience response, especially effective development of shared interests as well as feedback, was suggested to have significant influence on contents generation activities. Content generators usually reflect the shared interest of others. Shared interest is a distinct characteristic of UCC and observed in all the three websites, in which common interest is formed by the "threads" embedded with content. Through such threads of information and contents users discuss and share ideas while continuously extending and updating shared contents in the process. Evidently, UCC is a new paradigm representing the next generation of the Internet. In order to fully utilize this innovative paradigm, we need to understand how users take advantage of this medium in generating contents, and what affects their content generation activities. Based on these findings, UCC service providers should design their websites as common playground where users freely interact and share their common interests. As such this paper makes an important first step to gaining better understand about this new communication paradigm created by UCC.

A Usability Study of the Web-based Academic Library Services (웹 기반 대학도서관서비스의 사용편리성에 관한 연구)

  • 유재옥
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.13 no.1
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    • pp.59-75
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    • 2002
  • This study tried to evaluate the usability of web-based academic library services delivered to users in terms of effectiveness, efficiency, and user satisfaction. 13 subjects were randomly selected on the voluntary basis in Duksung Women's University Library from Dec. 15, 2001 to Feb. 27, 2002. They were given six kinds of tasks related to the use of library services through the library website. 3.6 tasks out of 6 were given right answers by subjects, with success rate of 60% and average spent time of 2 minutes and 22 seconds. The most effective library services on the website was a book search with success rate of 100%. However the least effective service was journal article search with success rate of 23.1% . The most efficient library service on the web was a book search. 100% of subjects found the answer in 42.2 seconds, while the least efficient library service was journal article search in which 23.1% of subjects found the answer in 271.7 seconds. Subjects were highly satisfied with the book request service on the web since it is the easiest to understand and the most convenient to use.

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Design Elements of Residential Environment of Multi-family Housing for Suicide Prevention and Empirical Analysis - Focused on Public Rental Housing (자살예방을 위한 주거환경 계획요소 및 실태 분석 - 공공임대주택을 대상으로)

  • Lee, Seungji;Lee, Eunjin;Noh, Tae Rin
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.3
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    • pp.51-60
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    • 2021
  • Purpose: The purpose of this study is to derive the residential environment design elements that affect suicide, and then analyze the actual situation in terms of suicide prevention and suggest implications. Methods: The study was conducted through literature analysis, field surveys, and interviews with stakeholders. Results: As a result of extracting the variables related to the residential environment that affect suicide suggested in a total of 18 papers, 15 variables were extracted and organized into major categories such as housing type, health and welfare facilities, leisure and cultural facilities, and living environment. Next, we selected a public rental housing complex with a relatively high suicide rate among multi-family housing as the case, and conducted a empirical analysis. It was investigated that the facilities were insufficient, and apart from the quantitative satisfaction of the rest, various problems were exposed, such as the classification of users according to age and insufficient management in terms of the actual use of residents including suicide attempters. Implications: First, it is necessary to search for the design direction of the residential environment for suicide prevention. Second, it is necessary to find a way to solve the exclusion phenomenon that appears in space and programs. Third, when planning a space for suicide prevention, understanding of the behavior of high-risk groups should be reflected.