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검색어: information needs, 검색결과: 8
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본 연구는 정보추구의 과도성으로 인해 자행되는 프라이버시 침해를 살펴보고자 하는데 그 목적이 있다. 이를 위해 최근 5년간 미디어에서 볼 수 있었던 프라이버시 침해 사례를 종류별로 분석, 이 중 지나친 정보추구행동의 결과로 나타나는 침해 사례들을 분석하였다. 정보추구의 동기, 주체, 성격이라는 세 가지 기준, 다섯 가지 유형에 기반, 과도한 정보추구로 인해 발생하는 프라이버시 침해를 사례별로 소개했다. 환경변화에 따른 바람직한 정보추구 자세와 프라이버시 침해 방지를 위한 정보이용에 대한 몇 가지 고민과 제언으로 마무리하였다.

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The purpose of this study was to try to describe types of invasion of privacy caused by excessive information seeking on mass media. Recent 5 years of cases were gathered and analyzed to see the types of invasion of privacy, and extracted only those cases showing the results by excessive information seeking. Three standards such as the intension, the subject, and the characteristics were selected to differentiate the types and cases. Five types of those three standards were introduced by case by case. The issues regarding ways of privacy protection and correct attitude of information seeking were explored and a few suggestions were included at the end.

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이지연(연세대학교) ; 한승희(서울여자대학교) ; Soohyung Joo(Yonsei University) 2008, Vol.25, No.2, pp.127-141 https://doi.org/10.3743/KOSIM.2008.25.2.127
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In this study, we investigated the information users' needs and information seeking behavior in the field of science and technology. We found that the science and technology researchers most frequently needed information while conducting the research & development related tasks and drafting research papers. The researchers attributed the main sources of research ideas to be the communication among colleagues and the literature review. The researchers's most preferred information sources were digital libraries, web search engines, and academic information portal. In conclusion, the science and technology researchers regarded the online use of electronic materials as the primary source of information. We hope that this investigation reported herein to be the foundation for developing user-centered information services for the science and technology discipline.

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With the purpose of enriching existing catalogues with FRBR, which is the Functional Requirements for Bibliographic Records, in mind, this paper aims to evaluate the impact of bibliographic ontology on the overall system’s performance in the field of literature. In doing this, OCLC’s FictionFinder (http://fictionfinder.oclc.org) was selected and qualitatively evaluated. In this study 40 university seniors evaluated the following three aspects using the ‘transferring thoughts onto paper method’: 1) In which ways is this FRBR-aware bibliographical ontology helpful? 2) Are the things which are initially attempted to be helped being helped? 3) Would users seeking one work in particular also see all other related works? In conclusion, this study revealed that, as Cutter claimed in his 2nd rule of the library, collocations give added-value to the users and overall ontology provides better interface and usefulness. It also revealed that a system’s evaluation with qualitative methodology helped to build full pictures of the system and to grip the information needs of the users when the system is developed. Qualitative evaluations, therefore, could be used as indicators for the evaluation of any information retrieval systems.

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이진하(University of Illinois at Urbana - Champaign) 2008, Vol.25, No.4, pp.149-164 https://doi.org/10.3743/KOSIM.2008.25.4.149
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Our limited understanding of real-life music information queries is an impediment to developing music information retrieval (MIR) systems that meet the needs of real users. This study aims to contribute to developing a theorized understanding of how people seek music information by an empirical investigation of real-life queries, in particular, focusing on the accuracy of user-provided information and users' uncertainty expressions. This study found that much of users' information is inaccurate; users made various syntactic and semantic errors in providing this information. Despite these inaccuracies and uncertainties, many queries were successful in eliciting correct answers. A theory from pragmatics is suggested as a partial explanation for the unexpected success of inaccurate queries.

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Policy information is very valuable around the nation in its aspects of uniqueness, professionalism and specificity, so it has great significances to individual citizens. Therefore, it is necessary to prepare systematic instruments for anyone to have easy access to policy information owned by government and administrative institutions. And particularly, it is so impending to develop efficient policy information service(PIS) system. Indeed, however, Korea doesn’t have yet established any policy or system to make policy information available en bloc to citizens. Thus, the purpose of this study is to conduct a survey to analyze actual profile of Korean policy information circulating institutions, and is also to analyze needs for domestic circulation of policy information, so that it can seek possible ways to consolidate domestic scattered policy information into a nationwide information system to improve national policy information infrastructure of Korea.

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이승욱(고려대학교 정보통신대학원) ; 송영인(고려대학교 정보통신대학원) ; 임해창(고려대학교) 2008, Vol.25, No.4, pp.115-129 https://doi.org/10.3743/KOSIM.2008.25.4.115
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최근 웹 환경이 대중화되고 개방됨에 따라 웹은 단순한 정보 획득의 공간이 아닌, 의견 표출과 교환의 장이 되어 가고 있으며, 이에 따라 웹 상에서 표출된 특정 주제에 대한 사람들의 의견을 자동으로 검색하기 위한 기술 개발의 필요성이 점차 증대되고 있다. 이러한 의견 문서 검색 문제는 사용자 질의와 문서간의 적합성만을 고려하는 일반적인 정보검색 방법으로는 해결하기 어려우며, 문서 내 의견 포함 여부 분석을 수행할 수 있는 더욱 진보된 시스템을 필요로 한다. 본 논문에서는 기존 검색 시스템의 구조 하에서, 의견 문서 검색을 효과적으로 수행할 수 있는 시스템을 제안한다. 의견 검색을 수행하기 위해 문서 내 의견 분석 방법에 대해 기존의 사전 기반 방식과 기계학습 기반 방식을 결합한 새로운 혼합 방식을 제안하고, 실험을 통하여 검색 성능을 개선하는 효과가 있음을 보였다.

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Recently, as its growth and popularization, the Web is changed into the place where people express, share and debate their opinions rather than the space of information seeking. Accordingly, the needs for searching opinions expressed in the Web are also increasing. However, it is difficult to meet these needs by using a classical information retrieval system that only concerns the relevance between the user's query and documents. Instead, a more advanced system that captures subjective information through documents is required. The proposed system effectively retrieves opinionated documents by utilizing an existing information retrieval system. This paper proposes a kind of hybrid method which can utilize both a dictionary-based opinion analysis technique and a machine learning based opinion analysis technique. Experimental results show that the proposed method is effective in improving the performance.

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노영희(건국대학교) ; 이수지(한국교육학술정보원) ; 박홍석(한국교육학술정보원) 2008, Vol.25, No.1, pp.99-127 https://doi.org/10.3743/KOSIM.2008.25.1.099
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국가경쟁력의 근간은 대학경쟁력이고 대학경쟁력은 학술·연구·정보경쟁력에서 나온다고 할 수 있다. IMD는 국가경쟁력에서 2위를 한 싱가포르가 대학경쟁력에서 1위를 한 것으로 보고하였으며, 국가경쟁력은 대학경쟁력에서 나온다고 평가한 바 있다. 그러나 우리나라에서는 국가 지식인프라 구축사업이 국가 단위의 종합적 계획없이 진행되고, 지식정보자원의 총량 분석없이 산발적·경쟁적으로 진행된 관계로 일반적인 정보원구축에 중복 투자가 되는 반면에 수집이 어렵고 많이 활용되지는 않으나 역사적·학술적·문화적 가치가 있는 정보원은 오히려 소외되는 현상이 발생했다. 이에 본 연구에서는 국가 자산인 국가지식정보자원 중 학술정보자원만이라도 총체적으로 관리하고 학술자원에 대한 총량분석을 기반으로 한 예산 투자 및 정보화사업과제가 발굴될 수 있도록 하기 위해 학술자원관리시스템 구축을 제안하고자 한다. 즉, 학술자원의 효율적 연계, 보급, 활용을 위해서는 관리체계가 필요하다고 보고, 이를 효과적으로 추진하기 위해 지식기반시대에 적합한 국가단위학술자원관리 체제 구축을 제안하고자 한다.

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National competence is based on the quality of university education, which is determined by the competitiveness of academia, research and information. IMD reported that Singapore, #2 country in national competence index, topped in quality of university education. Meanwhile Korea's current national knowledge infrastructure project lacks comprehensive coordination at a governmental level and has been conducted in a rather sporadic manner, without any consideration on the overall analysis of knowledge information resources. Consequently, a disproportionate amount of attention was devoted to collecting general information resources, while neglecting rare, hard-to-collect sources with historic, academic, and/or cultural values. This study proposes to build an academic resource management system to fully supervise academic resources at least, among national knowledge information resources which is a national asset, and also to allocate budget and cultivate new information building projects based on overall analysis on academic resources. In other words, there is a need for a management system to implement efficient linkage, distribution and utilization of academic resources and, to that end, we need to build an academic resource management system at a national level, maximizing the benefits from the knowledge society that we live in.

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본 연구는 공공도서관과 대형서점 이용자의 요구 및 이용행태가 유사하다는 가정 하에 두 기관의 분류방식의 분석을 통해 이용자의 도서탐색을 용이하게 해주는 요인들을 조사하였다. 본 연구의 목적은 대형서점의 방식으로 공공도서관의 장서를 분류하는 것을 제안하기보다는 공공도서관과 대형서점 분류방식의 어떤 특징이 탐색을 용이하게 하는지를 알아보아, 공공도서관에서 보다 편리한 분류를 제공하기 위해 고려할 점들이 무엇인지를 알아보는데 있다. 이를 위해 먼저 공공도서관 이용자의 도서탐색의 특징과 공공도서관과 대형서점의 분류방식을 조사·분석한 후 설문지법을 통해 이용자의 도서탐색목적과 탐색영역, 탐색기준을 알아보고, 공공도서관과 대형서점의 분류표를 바탕으로 탐색에 더 편리한 분류방식과 그 원인을 분석하였다. 연구결과 이용자들은 대형서점의 분류방식이 도서탐색에 더 편리하다고 생각하고 있음이 밝혀졌다.

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The research was conducted to investigate factors that facilitate users’ finding books by analyzing classifications in public library and bookstore. This research was based on the assumption that the users’ needs and information behaviors are similar in both public library and bookstore. The main purpose of this study is not to recommend classifying public library collections the way a bookstore does, but to figure out what makes the users’ book finding more convenient by analyzing the classifications. To carry out the research, users’ book finding in public library and classifications of public library and bookstore are analyzed. Then, a survey was conducted to investigate users’ book finding behaviors, degree of convenience in finding books according to different classifications and the causes of the convenience. The results of the research showed that bookstore’s classification was more convenient for the users in finding books.

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