• Journal of the Korea Society of Computer and Information
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• v.15 no.4
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• pp.1-9
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• 2010

In the new generation of Web, commonly called "Web 2.0", blogging has facilitated the publishing information or his/her opinion on the web. Various blog retrieval algorithms have been proposed to search for blogs more effectively. However, actually keyword-based searching or link-analysis blog ranking system cannot satisfy the user's requirement. In this paper, we suggest a topic-based weighting blog retrieval system in which the links between blog writings and searching words are considered to improve the search results. Our system extracts topics from each blog and weights them much higher than other guide words. In the comparison with other systems, we see that the proposed topic-base system has better recall rate of search results.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.785-790
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• 2009

Widgets are the instrument for representing user's character and embossing the value of blogs. The compound word of the Windows and Gadget the application, widgets are the functional program to displayed on the screen graphical user interface (GUI) tools as a kind of service that user want to see. On the operating system, the Web, and mobile area, widgets offer the delivery of information, convenience and efficiency. However widgets have been never gave satisfaction to user because it focused transmitting information and representing circumstance than fun. This study is for recognized fun elements that user feel interest and categorized fun elements each type of widgets. Fun elements of widget never been defined, we use fun elements on design and product area and emotional word that is representative of affectivity. And we make up an online questionnaire to blog users. The widget selected by popular degree among the domestic widgets and the Japanese widget. And the results of the questionnaire that 5-scales used based on user preferences to identify the elements that are fun.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.53-55
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• 2010

오늘날 기업들은 제품의 유통기한 경과에 따른 폐기비용이 증가함에 따라 이를 줄이기 위한 방안이 필요하게 되었다. 이에 본 연구에서는 쇼핑몰의 재고관리시스템과 웹로그 분석 시스템, 마이크로 블로그를 활용하여 소비기한에 다다른 기능성 주류 제품에 대한 이벤트를 생성해 주는 알고리즘을 제안하였다. 재고관리 시스템에서는 기존의 바코드가 아닌 타임바코드를 활용하여 소비기한을 고려하고, 웹로그 분석 시스템을 통해 고객들의 성향을 파악한 후, 마이크로 블로그를 통해 이벤트 글을 게시함으로써 이벤트가 생성된다. 마이크로 블로그를 통해 상호 연결된 고객들에게는 보다 신속한 정보로 맞춤식 서비스를 제공할 수 있을 것이다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.467-471
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• 2010

Weblog is one of the most spread web services. The content of the weblog includes daily events and emotions. If we collect personal information using mobile devices and create a weblog, user can create their own weblog easily. Some researchers already developed systems that created weblog in mobile environment. In this paper, user's activity is inferred from personal information in mobile device. The inferred activities and story generation engine are used to generate text for creating a weblog. Finally, the text, photographs and user's movement in Google Map are integrated into a weblog.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.623-628
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• 2007

본 논문은 Web 2.0시대의 새로운 컨텐츠 매체로 각광받고 있는 블로그와 관련하여 태그 기반의 검색 알고리즘을 제안하고자 한다. 최근 블로그 검색과 관련하여 태그 기반의 블로그 검색 서비스가 등장하기 시작했지만, 현재 제공되는 태그 기반의 검색 서비스는 태그의 유무와 컨텐트의 최신성을 주요 기준으로 삼고, 태그와 컨텐트 간의 관련성을 제대로 고려하지 않아 검색 결과가 만존스럽지 못하는 경우가 많다. 따라서 본 논문에서는 태그와 컨텐트와의 관련성을 실수화하고 이를 주요 기준으로 검색 결과의 순위를 결정하는 PTRank 알고리즘을 제안하였다. PTRank 알고리즘에서는 1) 태그가 피드의 제목에 포함되었는지 여부, 2) 태그가 피드의 설명에 나타나는 회수, 3) 태그가 아이템의 제목에 포함되었는지 여부, 4) 태그가 아이템의 설명에 나타나는 횟수, 5) 피드 내에서 태그의 IDF값, 6) 사용자의 검색 행위를 이용해 태그와 컨텐트간의 관련성을 실수화하였다. 실험 결과, PTRank 모델 및 학습 알고리즘이 태그 기반의 피드 검색에서 잘 작동하며 검색에 효과적으로 활용될 수 있다는 것을 알 수 있었다.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.61-77
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• 2010

Blogs are now one of the major information resources on the web. The purpose of this study is to enhance the performance of blog retrieval by means of user assigned tags and trackback information. To this end, retrieval experiments were performed with a dataset of 4,908 blog pages together with their associated trackback URLs. In the experiments, text terms, user tags, and network centrality values based on trackbacks were variously combined as retrieval features. The experimental results showed that employing user tags and network centrality values as retrieval features in addition to text words could improve the performance of blog retrieval.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.163-168
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• 2011

Blogs are an easy way to publish information, engage in discussions, and form communities on the Internet. Recently, there are several varieties of spam blog whose purpose is to host ads or raise the PageRank of target sites. Our purpose is to develope the system which detects these spam blogs (splogs) automatically among blogs on Web environment. After removing HTML of blogs, they are tagged by part of speech(POS) tagger. Words and their POS tags information is used as a feature type. Among features, we select useful features with X2 statistics and train the SVM with the selected features. Our system acquired 90.5% of F1 measure with SPLOG data set.

• The Journal of Korean Association of Computer Education
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• v.13 no.2
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• pp.59-70
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• 2010

This study aims to analyze research trend of Web 2.0 use in education and to suggest directions for further studies. Sixty representative studies were selected and analyzed in terms of a developed framework of Web 2.0 based learning environments and an analysis scheme. This scheme is divided into five dimensions: research targets, research themes, types of Web 2.0 tools, learning theories and research methodology. The findings indicate that a majority of the previous studies aimed to share information and reflect thoughts in collaborative contexts through blogs and wikis at universities. Some implications were discussed for further studies.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.415-418
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• 2006

주 5일 근무제의 도입에 따른 여가활동의 확대로 레저활동에 대한 관심이 높아지면서 레저활동을 관리해줄 수 있는 시스템 즉, 웹을 기반으로 하는 시스템이 필요하다. 이에 본 시스템은 사용자의 편리함을 위해 지역 명으로도 검색 가능하고 플래시 코드로 작성되어 마우스로 클릭만 해도 산에 대한 정보를 검색할 수 있도록 제안하였다. 등산을 즐기는 산악인의 커뮤니티 활성화를 위해 웹 기반 시스템을 통해서 폭넓은 커뮤니티의 활성화와 인터넷 사이트를 통한 정보검색활용과 블로그 서비스와 카페활동을 통해 개인 중심 커뮤니티를 활성화 시키기 위한 산악인 포털 서비스의 활용으로 블로그나 카페를 통한 인맥 네트워크를 구축하여 다양하고 전략적인 방안을 통해 지역별 각종 행사의 정보 및 산에 관련된 모든 정보를 공유하여 온라인상에서의 의미있는 인간관계의 효율적인 구축을 하도록 하였다.

• Journal of KIISE:Software and Applications
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• v.35 no.4
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• pp.219-233
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• 2008

This paper suggests an intelligent semantic blog model to systematically analyze and manage biogosphere with ontology as its conceptual knowledge base. In the model, the system managers may support users to easily find appropriate blog resources by tracking and analyzing various relationships between ontology - they may intelligently recommend Interest blog communities to relevant users by monitoring interaction activities in blogoshpere, dynamically grouping the communities with the ontology. To systematically specify the functionality of our model, 1) we first express the structure of blog resources in terms of objects and relationships between them and then 2) we formalize a set of operators designed to be applied to the resources. System queries are implemented by the combination of the operators.