• Title/Summary/Keyword: 정보채집 이론

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Information Forager's Approach to Folksonomy (정보채집으로의 접근 - 폭소노미 이해를 위한 개념적 틀 연구 -)

  • Park, Hee-Jin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.3
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    • pp.189-206
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    • 2011
  • This paper proposes a conceptual framework to explore the ways in which people work with in accessing, sharing, and navigating Web resources. In order to provide a better frame of a user's interaction with a folksonomy, an information foraging approach was adapted that denotes adaptive information seeking behaviors of users within human information interaction. A conceptual framework that consists of three different components from users' points of view was proposed: tagging, navigation, and knowledge sharing. This understanding will help us to motivate possible future directions of research in folksonomy and lay the groundwork for empirical research which focuses on qualitative analysis of a folksonomic and users' tagging behaviors.

기획력 배가 겨냥한 기업경영 이론서들

  • Lee, Seong-Su
    • The Korean Publising Journal, Monthly
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    • s.137
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    • pp.17-17
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    • 1993
  • 대개의 회사업무는 기획으로 시작해서 기획으로 끝나는 경우가 대부분이다. 서점 실용서코너에는 지능개발도서와는 다른 차원에서 정보의 아이디어화를 돕는 책들이 선을 보이고 있다. 기획력 배양의 실제적인 훈련을 비롯해서 정보채집과정 등을 재미있게 소개하고 있는 이들 도서는 독자들에게 대중의 욕구 변화에 따른 발상의 전환을 요구하고 있다.

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A study on the natural history projection mapping contents using Gestalt Visual Perception Theory (게슈탈트 시지각 이론을 활용한 자연사 프로젝션 맵핑연구)

  • Park, Ki-Deok;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.18 no.5
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    • pp.465-471
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    • 2020
  • This paper aims to maximize the exhibition effect and to emphasize the efficiency of sample information transfer by using the surrealism dephase network technique and beam projection mapping by aesthetically approaching the arrangement of the existing exhibition specimens in the science museum using natural history contents. It presents the limitations of the existing analog natural history sample information transmission in digital form to give viewers interesting and fun and suggests the direction of using digital diorama for sample exhibition.

A study on the Digital diorama AR using Natural history Contents (자연사 콘텐츠를 활용한 디지털디오라마 AR연구)

  • Park, Ki-Deok;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.293-297
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    • 2021
  • This paper applies the natural history contents of the Science Museum and combines the Gestalt theory to develop the butterfly arrangement structure of the butterfly sample box and the butterfly sample information necessary for the sample box as AR (Augmented Reality). Existing analog sample information is expressed as digital information by combining place, butterfly information, and graph to maximize the effect of digital diorama exhibition. Digital natural history information is increased or decreased, and an environment optimized for real samples and suitability is constructed, and natural history contents are arranged in the principles of collectiveness, closure, simplicity, and continuity using the Gestalt visual perception principle to increase attention and increase the attention of butterfly collection information. Was applied as an application plan of AR.

Health Consciousness and Health Information Orientation on Health Information Searching Behaviors of Middle-Aged Adults (중년층의 건강관심도와 건강정보추구도가 인터넷 건강정보 검색행동에 미치는 영향)

  • Lee, Hawyoung;Oh, Sanghee
    • Journal of the Korean Society for information Management
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    • v.38 no.3
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    • pp.73-99
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    • 2021
  • The purpose of this study is to analyze the health information use experience of middle-aged people in their 40s and 50s and to observe and analyze their health information search behaviors according to health consciousness and health information orientation. This study uses Information Foraging Theory with the concept of information scents which leads users to detect and collect cues in information searching. Types and contents of information cues that middle-aged people use when searching for health information were investigated. Also, how their health consciousness and health information orientation affected using information cues were analyzed. Three methods of research were used; (1) pre-interviews, (2) search experiments, and (3) post-interviews. Thirty-two middle-aged people participated in the study. Their performance on health information searching was recorded and referred to in the post-interviews using a think-aloud protocol. Findings presented that middle-aged people's health consciousness and health information orientation affected the perception of information scents in health information search; those with high health consciousness and health information orientation consider the text made by the government office the most critical information cues. We believe findings from this study could be used for public libraries or non-profit institutions to understand middle-aged people's health information behaviors to design education programs for information retrieval considering users' health consciousness and health information orientation. Findings could also contribute to Internet portal site or health-related web site designers developing strategies for middle-aged users to access health information effectively.

Preprocessing Methods for Low-Resolution Face Image Recognition (저해상도 영상 얼굴인식을 위한 전처리 방법)

  • Lee, Philku;Kim, Tai Yoon;Lee, Dasol;Kim, Seongjai
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.781-784
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    • 2017
  • Face recognition systems are characterized by low invasiveness of acquisition, and increasingly better reliability. Such systems may not be applied effectively, when the images are in low resolution (LR) as in the case that photos are taken from long distances, typically public surveillance. In theory, the high resolution (HR) image reconstructed from an LR face image, applying a super resolution (SR) method, can be used for face recognition. However, existing face SR algorithms may not give satisfactory results in face recognition. This article investigates the very low resolution face recognition problem and introduces a partial differential equation (PDE)-based SR method for a face recognition system of convolutional neural network (CNN).