• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.189-210
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• 2011

This study aims to explore how users are tagging in order to utilize a folksonomy and whether they understand the social and interactive aspects of tagging in three different folksonomic systems, Connotea (www.connotea.org), Delicious(http://delicious.com), and CiteULike(www.citeulike.org). The study uses internet questionnaires, qualitative diary studies, and follow-up interviews to understand twelve participants' tagging activities associated with folksonomic interactions. The flow charts developed from the twelve participants showed that tagging was a quite complex process, in which each tagging activity was interconnected, and a variety of folksonomic system features were employed. Three main tagging activities involved in the tagging processes have been identified: item selection, tag assignment, and tag searching and discovery. During the tag assignment, participants would describe their tagging motivations related to various types of tags. Their perception of the usefulness of types of tags was different when their purpose was for social sharing rather than personal information management. While tagging, participants recognized the social potential of a folksonomic system and used interactive aspects of tagging via various features of the folksonomic system. It is hoped that this empirical study will provide insight into theoretical and practical issues regarding users' perceptions and use of folksonomy in accessing, sharing, and navigating internet resources.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.151-163
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• 2010

It is necessary, due to changes in the information environment, to investigate problems in existing information retrieval systems. Ontologies and social tagging, which are a relatively new means of information organization, enable exploratory discovery of information. These two connect a thought of a user with the thoughts of numerous other people on the Internet. With these connection chains through the interactions, users are foraging information actively and exploratively. Thus, the purpose of this study is, through qualitative research methods, to identify numerous discovery facilitators provided by ontologies and social tagging, and to create an exploratory discovery model based on them. The results show that there are three uppermost categories in which 5, 4 and 4 subcategories are enumerated respectively. The first category, 'Browsing and Monitoring,' has 5 sub categories: Noticing the Needs, Being Aware, Perceiving, Stopping, and Examining a Resource. The second category, Actively Participating, has 4 categories: Constructing Meaning, Social Bookmarking and Tagging, Sharing on Social Networking, Specifying the Original Needs. The third category, Actively Extends Thinking, also has 4 categories: Social Learning, Emerging Fortuitous Discovery, Creative Thinking, Enhancing Problem Solving Abilities. This model could contribute to the design of information systems, which enhance the ability of exploratory discovery.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.154-157
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• 2011

본 연구는 2인의 전문의와 함께 의료 문헌의 초록을 분석하여 의료문서에서의 절차적 지식을 모델링하고 텍스트 마이닝 기법을 적용하여 절차적 지식을 추출하는 방법론에 대해 기술한다. 절차적 지식은 목적과 해법의 묶음으로, 해법은 다시 단위 절차 지식의 네트워크로 정의 하였고, 목적과 해법 정보 추출과 단위 절차 지식의 구성요소인 대상/행위/방법 개체를 인식하기 위해, 품사태깅, 구문분석, 술어-논항구조(Predicate-Argument Structure), 온톨로지 용어 매핑 정보 등에 기반한 기계학습 방법을 사용하였다. 실험을 위해 전문의와 함께 위함과 척추질환에 대한 1309 문서에 절차적 지식 태깅을 수행하였고, 이 문서 집합을 기반으로 목적/해법 추출 작업과 단위 절차 지식(대상질병/행위/적용방법) 추출 실험을 수행하여, 각각 82% 와 63%의 F-measure 값을 얻을 수 있었다.

• Journal of Internet Computing and Services
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• v.12 no.5
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• pp.29-37
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• 2011

Recently, many user-participating web services have been used widely as the evolution of internet web technology has rapidly been developed. Users share various content and opinion on line using a site like ‘Social bookmarking.’ Users can share others’ bookmarking history and create tags while bookmarking web sites; we call it collaborative tagging. In this paper, we studied empirical analysis for widely used social bookmarking and collaborative tagging which the result shows minority of users is actively using the bookmarking and a few sites and tags are used by majority of the users. 24% users tagged 80%, 75% sites and 81% tags were tagged below than 3 times. Types of bookmarking activities were found different by users and early appointed tags get more frequency by majority. We also identified relative proportions of tags on certain sites are becoming convergence gradually. We expect the result of this paper will give opportunities to help further developing social bookmarking system.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.192-194
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• 2016

스마트폰 사용자 수가 늘어남으로써 스마트폰으로 개인에 맞는 서비스를 제공하는 것은 중요한 연구 주제가 되었고 사용자 개인의 데이터를 이용하여 기호나 취향에 맞는 상품 및 서비스 제공에 대한 개발이 활발히 이루어지고 있다. 개인에게 적합한 서비스를 제공하기 위해 데이터를 수집하는 것, 정보를 추출하는 것 및 상황 행위에 대한 특정을 하고 사용자에 대한 로그(log)를 축적하고 분석하는 작업이 가장 중요하다. 본 논문에서는 안드로이드 환경 기반의 멀티모달 센서 및 문자/통화/사진/음악 이용 로그를 활용하여 라이프로그를 저장하고 사용자의 취향을 예측할 수 있는 시스템을 제안한다. 스마트폰의 향상된 성능, 추가된 다양한 기능에 따라 생성되는 방대한 양의 데이터들을 수집하고 상황인지, 행위인지 모듈을 통하여 사용자의 상황과 행위를 특정 짓는다. 결과 또는 키워드 들을 데이터와 함께 태깅하고 에피소드 형식으로 레코드를 체계적이고 정확하게 저장한다. 이러한 시스템을 이용해 저장된 라이프로그 및 개인맞춤형 정보화 모델은 개인 취향에 최적화된 서비스/상품 제공 연구에 활용 될 수 있도록 시스템 구현을 진행할 예정이다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.109-111
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• 2003

본 논문에서는 질의응답 시스템에서 질의에 포함된 언어 정보와 검색 대상 문장 사이의 의미 연관성을 참조하여 정확한 결과를 추출 가능하도록 하는 온톨로지의 자동 구축 방법을 제시한다. 검색 대상 문장은 웹에서의 활용과 표준화를 위하여 단어 태그, 품사 정보 및 파싱 구조를 갖는 XML 문서로 변환하고, 이 구조를 이용한 연관성 분석을 위해 의미망을 갖는 온톨로지를 자동으로 생성할 수 있도록 하였다. 온톨로지에서 의미 연관성을 결정하는데 중요하게 활용되는 개념으로써는 동사의 행위, 명사절 그룹 매치, 복합명사 선별, 고유명사 매치, 품사 태깅 등이 있다. 제안한 방법의 성능은 NIST TREC-10의 질의 응답문을 사용해서 단어 패턴 매치 방법과 비교 분석하였으며, 본 논문에서 제안한 방식이 재현율과 정확율 측면에서 우수한 성능을 나타냄을 입증하였다.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.456-459
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• 2019

대화 행위는 단순한 발화 문장들의 교환을 넘어 발화자들의 다양한 주변 정보를 고려한 종합적인 판단의 결과로 볼 수 있다. 본 논문은 여섯 가지 유형의 외부 상황 정보를 기반으로 적응적 발언을 생성하는 딥러닝 기반 대화 모델을 소개한다. 직접 구축한 상황 정보들이 태깅된 대화 데이터를 바탕으로, 외부 상황 정보를 사용자 발화와 더불어 활용하는 다양한 구조의 신경망 구조를 가지는 모델과 더불어 외부 상황 정보를 사용하지 않는 모델과의 성능에 대해 비교한다. 실험 결과들은 대화 모델의 발화 생성에 있어서 상황 정보 활용의 중요성을 보여준다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.709-716
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• 2020

In social media, when posting a post, tag information of an image is generally used because the search is mainly performed using a tag. Users want to expose the post to many people by attaching the tag to the post. Also, the user has trouble posting the tag to be tagged along with the post, and posts that have not been tagged are also posted. In this paper, we propose a method to find an image similar to the input image, extract the label attached to the image, find the posts on instagram, where the label exists as a tag, and recommend other tags in the post. In the proposed method, the label is extracted from the image through the model of the convolutional neural network (CNN) deep learning technique, and the instagram is crawled with the extracted label to sort and recommended tags other than the label. We can see that it is easy to post an image using the recommended tag, increase the exposure of the search, and derive high accuracy due to fewer search errors.

• 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.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.826-833
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• 2009

Currently, the rise of social tagging has changing taxonomy to folksonomy. Tag represents a new approach to organizing information. Nonhierarchical classification allows data to be freely gathered, allows easy access, and has the ability to move directly to other content topics. Tag is expected to play a key role in clustering various types of contents, it is expand to network in the common interests among users. First, this paper determine the relationships among user, tags and resources in social tagging system and examine the circumstances of what aspects to users when creating a tag related to features of websites. Therefore, this study uses tags from the social bookmarking service 'del.icio.us' to analyze the features of tag words when adding a new web page to a list. To do this, websites features classified into 7 items, it is known as tag classification related to resources. Experiments were conducted to test the proposed classify method in the area of music, photography and games. This paper attempts to investigate the perspective in which users apply a tag to a webpage and establish the capacity of expanding a social service that offers the opportunity to create a new business model.