• Title/Summary/Keyword: Social Search

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Design of Semantic Search System for the Search of Duplicated Geospatial Projects (공간정보사업의 중복사업 검색을 위한 의미기반검색 시스템의 설계)

  • Park, Sangun;Lim, Jay Ick;Kang, Juyoung
    • Journal of Information Technology Services
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    • v.12 no.3
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    • pp.389-404
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    • 2013
  • Geospatial information, which is one of social overhead capital, is predicted as a core growing industry for the future. The production of geospatial information requires a huge budget, so it is very important objective of the policy for geospatial information to prevent the duplication of geospatial projects. In this paper, we proposed a semantic search system which extracts possible duplication of geospatial projects by using ontology for geospatial project administration. In order to achieve our goal, we suggested how to construct and utilize geospatial project ontology, and designed the architecture and process of the semantic search. Moreover, we showed how the suggested semantic search works with a duplicated projects search scenario. The suggested system enables a nonprofessional can easily search for duplicated projects, therefore we expect that our research contributes to effective and efficient duplication review process for geospatial projects.

Challenge of Understanding Multichannel Customer Behavior in 21st Century: A Meta-analysis

  • Kim, Soohyun;Ahn, Insook
    • Journal of Fashion Business
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    • v.18 no.3
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    • pp.14-28
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    • 2014
  • The purposes of this study are to provide comprehensive reviews on multichannel consumer behaviors published in peer-reviewed academic journals from 2005 to 2014, to develop a conceptual framework that demonstrates multichannel determinants such as psychographics, demographics, social influences, and situational factors on consumers' search and purchase behavior based on customers' profits or costs judgment, and to provide possible direction for future research in multichannel consumer behavior. Three steps were taken in the process of analyzing consumers' channel determinants presented in the 37 studies, and 12 most frequently used factors that appear in the studies were extracted. These factors include convenience, service, trust/risk, saving money, product knowledge, experience, efficacy/usefulness, involvement, shopping environment/situation factors, demographics, product types, and social influence. With 12 determinants of multichannel consumers' search and purchase behavior, a conceptual framework was proposed based on expectancy theory. The directions for future research were also discussed.

Computer Use and Social Participation in Old Age: Analysis according to the Computer Use Patterns of Young Old (노년기 컴퓨터 이용과 사회활동참여 : 전기 노인의 컴퓨터 이용형태에 따른 분석)

  • Chang, Soo-Ji;Lee, Jae-Jung
    • Korean Journal of Social Welfare
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    • v.62 no.3
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    • pp.353-374
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    • 2010
  • The purpose of the study was to investigate the effects of computer use in elderly's social participation. Specifically, the participants(aged 65-74 yrs) were classified according to the computer usage patterns, and the effect of the computer use pattern on social participation was investigated. And the study identified the impact of social attributes within computer use in detail through different types of social activity analysis. In order to statistical analysis, data from the investigation of elderly welfare conditions and needs in Busan(2009) was used. Findings indicated that 1) the elderly computer users were classified in three types; "information search/hobby-pattern", "hobby-pattern", and "information search/communication pattern". 2) the effect of computer use by the elderly in social participation was positive. 3) the "information search/communication pattern" users tended to actively involve in social participations, and pursued activation and expansion of social networking, seeking organizational and social benefits. Practical and social implications and limitations of the study were discussed.

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The Job Seekers Model: Comparison of the General Search Model and the Unified Approach Model

  • LEE, Dong-Hae;LEE, Sang-Ki
    • The Journal of Industrial Distribution & Business
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    • v.12 no.1
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    • pp.7-13
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    • 2021
  • Purpose: Unemployment in its general form is a result stemming from the decisions of workers to search for a new and better paying job. In this study, the view that unemployed workers were not simply desiring any job, but one that would maximize their expected future outcome, was examined. Research design, data, and methodology: In order for collection of data and analysis, the panel dates of individual applications for job openings on job search websites were utilized to examine search effort and period for individuals. Results: It was found that the number of applications sent by a job seeker declined over their period of job searching, and that job seekers over a long duration of time tend to send relatively more applications per week throughout their entire search period. The latter finding contradicts the implications of the standard labor search effort models. Conclusions: It can be observed that these job search models fail to capture several key elements in search efforts, and that the search time for an offer is not entirely predetermined by the labor market conditions and socio-economic (individual) characteristics of the searcher. It can be shortened as he or she intensifies their job search efforts.

Factors Associated with Job Search Self-Efficacy of Unemployed Youth based on the Neuman Systems Model (청년구직자의 구직효능감에 영향을 미치는 요인 : Neuman의 Systems Model을 기반으로)

  • Park, Mijeong;Oh, Doonam
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.301-314
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    • 2021
  • Youth unemployment is a global social issue which leads to a waste of human resources and undermines the national economy. Job search self-efficacy (JSSE) can predict active job search and job search outcomes. The present study identified the factors affecting the JSSE of unemployed youth based on the Neuman Systems Model (NSM). The results indicated that job search period, job search stress, and problem-centred coping ability influenced young job seekers' JSSE, which increased especially with the perception of physical health. Therefore, to promote JSSE, it is necessary to not only establish social systems for the youth but also develop an intervention plan based on the NSM that optimises problem-centred coping ability, a normal line of defence in the individual's system, and maintains a healthy physical state, a line of resistance.

Impact of SNS Flow on Sociality (SNS몰입이 사회성에 미치는 영향)

  • Lee, Seoung-Ho;Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.19 no.2
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    • pp.21-45
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    • 2018
  • With the widespread use of smartphones and the development of information technology, an online service called SNS(social network service) has emerged, and as an increasing number of people began to use SNS, extensive research has been conducted on SNS. SNS is an important factor for adolescents who are developing social skills that help them to adapt to the society, and for adults who are stepping into the society. The present study investigates the effects of information search, self-disclosure, interaction, and playfulness, all of which are motivational factors for SNS use, on flow in SNS, and empirically analyzes the degree of these variables influence according to flow in SNS and individual's personal nature(extrovert, introvert). The analysis results showed that information search, self-disclosure, interaction, and playfulness were positively correlated with flow in SNS, and flow in SNS was positively correlated with social skills. The degree of influence varied depending on the individual's personal nature(extrovert, introvert). These findings may provide important insights for researchers studying SNS, SNS managers, and company officials using SNS.

An Exploratory Study on Issues Related to chatGPT and Generative AI through News Big Data Analysis

  • Jee Young Lee
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.378-384
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    • 2023
  • In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.

The Effect of the Social Norms of Mathematics Classroom on Mathematical Beliefs (수학 교실의 사회적 규범이 수학적 신념에 미치는 영향)

  • Han, Kyung-Hwa;Kang, Soon-Ja;Jung, In-Chul
    • Journal of the Korean School Mathematics Society
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    • v.8 no.3
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    • pp.343-356
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    • 2005
  • The purpose of this study is to search whether mathematical beliefs have changed when new social norms are formed in math classroom through research using survey papers about mathematical beliefs and math class video photographing. In addition, it would search for social norms of mathematical classroom which affects to students' mathematical beliefs by analyzing culture of mathematical classroom. The result was that the class focusing only general social norms wasn't enough to change students' mathematical beliefs. And as we have examined sociomathematical norms of math classroom through analyzing culture of mathematics classroom, it has affected students' mathematical beliefs.

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Method for improving search efficiency using relation of anatomical structure from Donguibogam(東醫寶鑑) ("동의보감"에 기재된 인체 용어 관계를 이용한 검색효율성 향상 방법)

  • Song, In-Woo;Lee, Byung-Wook
    • Journal of Korean Medical classics
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    • v.25 no.4
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    • pp.105-113
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    • 2012
  • Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

A Study on the Estimation of Character Value in Media Works: Based on Network Centralities and Web-Search Data (미디어 작품 캐릭터 가치 측정 연구: 네트워크 중심성 척도와 검색 데이터를 활용하여)

  • Cho, Seonghyun;Lee, Minhyung;Choi, HanByeol Stella;Lee, Heeseok
    • Knowledge Management Research
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    • v.22 no.4
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    • pp.1-26
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    • 2021
  • Measuring the intangible asset has been vigorously studied for its importance. Especially, the value of character in media industry is difficult to quantitatively evaluate in spite of the industry's rapid growth. Recently, the Social Network Analysis (i.e., SNA) has been actively applied to understand human usage patterns in a media field. By using SNA methodology, this study attempts to investigate how the character network characteristics of media works are linked to human search behaviors. Our analysis reveals the positive correlation and causality between character network centralities and character search data. This result implies that the character network can be used as a clue for the valuation of character assets.