• Proceedings of the Korea Multimedia Society Conference
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• 1998.10a
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• pp.359-364
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• 1998

지금까지 정보 검색에 대한 많은 연구가 있어 왔지만, 여전히 여러 가지 문제들로 인해 사용자는 많은 시간을 소비하게 된다. 본 논문에서는 이러한 문제를 해결하기 위해 검색결과를 분석하여 중복된 URL을 제거하고, 접근이 불가능한 URL 정보를 사용자에게 보여준다. 해결 방안으로는 멀티쓰레드를 이용한 로봇 에이젼트가 자동으로 각 URL을 방문함으로써 가능하게 했으며, 사용자는 직접 방문하지 않고도 접근 불가능한 이유를 미리 알게된다. 구현된 메타 검색 엔진을 기존의 검색 엔진들과 비교 했을 때 약 13%의 효율성 향상을 가져왔으며, 앞으로 시소러스 등을 이용한 더 많은 연구가 진행될 것이다.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.167-181
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• 2008

In this study, web link analysis of the Korean National Archives has been Performed using LexiURL to show the dynamic web flow of the National Archives and to identify which closely related institutions the archives should seek to cooperate with for developing an institutional strategic plan. Inlink and co-inlink analysis were performed and, to identify related institutions of the Korean National Archives. a comparison was made with other countries such as Australia, England and the United Stats. Through web link analysis, several features can be detected and future directions are suggested. Most inlinks and co-inlink of the Korean National Archives were from public institutions, indicating that relationships with educational or research institutions are weak. Moreover, Korean National Archives involve fewer web links related to international activities than other countries. Proceeding from these results, educational function, research function and international activities should be fortified. Korean National Archives need to provide more materials for supporting educational and research activities and more cultural interchange among related institutions. Further research with different heritage institutions such as libraries or museums is needed.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.199-209
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• 2018

Recently, services provided to consumers are increasingly being combined with big data such as low-priced shopping, customized advertisement, and product recommendation. With the increasing importance of big data, the web crawler that collects data from the web has also become important. However, there are two problems with existing web crawlers. First, if the URL is hidden from the link, it can not be accessed by the URL. The second is the inefficiency of fetching more data than the user wants. Therefore, in this paper, through the Casper.js which can control the DOM in the headless brwoser, DOM event is generated by accessing the URL to the hidden link. We also propose an intelligent web crawler system that allows users to make steps to fine-tune both Structured and unstructured data to bring only the data they want. Finally, we show the superiority of the proposed crawler system through the performance evaluation results of the existing web crawler and the proposed web crawler.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.115-133
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• 2015

This study investigates the contents of twitters serviced by metropolitans and citizens' questions to propose improvements. Using content analysis as a research method, this study recorded and analyzed all the tweets of six metropolitans (Seoul, Busan, Daegu, Incheon, Daejeon, Gwangju) for three months. As the results, the frequency analysis of tweets revealed that Busan posted more tweets than other cities, and Seoul posted the highest number of tweet using URL link. The results of content analysis showed that the most frequently provided information from tweeters was about convenience of citizens living. Tweets using URL link were focused on information about citizen living, prize contest, and service announcement. Citizens had a request for information about their life and traffic. For public information service using tweeter in the future, this study provided several important suggestions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.5
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• pp.1028-1034
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• 2004

As use of internet generalized laying stress on WWW(World Wide Web) service of multimedia based recently, we could acquire many informations that exist to all over the world's computer network. It is risen to important problem that use of internet acquires correct information rapidly on modem society which is generalized. This paper designed internet search engine and understand structure of that drawing URL which is optimized, and secure embodiment technology using OOPL(Object-Oriented Programming Language). Also, compare with existent domestic manufacture search engines and system that propose showed that the bad link rate is improved in this paper.

• KIISE Transactions on Computing Practices
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• v.21 no.3
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• pp.239-246
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• 2015

QR(Quick Response) Code has been developed to provide greater storage capacity and more functionality compared to 1D bar codes. With the emergence of increasingly mobile devices equipped with cameras such as smart-phones and tablets, QR codes have become very popular and more important in mobile businesses. Typically, most QR codes are used as a URL link for redirecting users to webpages. However, the URL based QR codes are required to be connected over the internet and to be run a server. This can incur unnecessary traffics in the Internet. Furthermore, it is not suitable for the country lagging behind others in its network infrastructure. In this paper, we propose a server-less ${\mu}$-webpage to provide mobile web services and be optimized for the capabilities and limitations of QR Code. We have implemented the ${\mu}$-webpage in Android, and the results showed that the proposed mechanism can provide web-services without requiring extra servers or incurring mobile traffic data compared to the URL-based QR Codes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.797-804
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• 2002

As internet use is being generalized central of WWW(World Wide Web) service of multimedia based recently, we could acquire many informations that exist to all over the world's computer network .Therefore, picking up of information became important problem before that internet is generalized, but it is risen to important problem to acquire correct information rapidly on modem society that use of internet is generalized. This paper designed internet search engine and understand structure of internet search engine drawing URL that is optimized, and secure embodiment technology using Java that is language of object base. Search engine that proposed in this paper maintained user's the convenience by offer keyword search, and simplify user interface And although quantity of searched information site is few, search engine show that the bad link rate of searched result is improved compare with existent domestic manufacture search engines.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.357-365
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• 2010

Personalized web search engine provides personalized results to users by query expansion, re-ranking or other methods representing user's intention. The personalized result page includes URL, page title and small text fragment of each web document. which is known as snippet. The snippet is the summary of the document which includes the keywords issued by either user or search engine itself. Users can verify the relevancy of the whole document using only the snippet, easily. The document summary (snippet) is an important information which makes users determine whether or not to click the link to the whole document. Hence, if a search engine generates personalized document summaries, it can provide a more satisfactory search results to users. In this paper, we propose a personalized document summary system for personalized web search engines. The proposed system provides increased degree of satisfaction to users with marginal overhead.

• The KIPS Transactions:PartC
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• v.10C no.5
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• pp.647-656
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• 2003

In Webspace, mining traversal patterns is to understand user's path traversal patterns. On this mining, it has a unique characteristic which objects (for example, URLs) may be visited due to their positions rather than contents, because users move to other objects according to providing information services. As a consequence, it becomes very complex to extract meaningful information from these data. Recently discovering traversal patterns has been an important problem in data mining because there has been an increasing amount of research activity on various aspects of improving the quality of information services. This paper presents a Dynamic Link Recommendation (DLR) algorithm that recommends link sets on a Web site through mining frequent traversal patterns. It can be employed to any Web site with massive amounts of data. Our experimentation with two real Weblog data clearly validate that our method outperforms traditional method.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.292-294
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• 2000

대부분의 검색엔진들이 사용하는 내용 기반 검색 방법은 웹 페이지에 있는 단어의 빈도만을 이용하여 순위를 결정함으로써 비슷한 단어 빈도를 가지고 있는 방대한 양의 검색 결과로부터 참조할만한 가치가 있는 중요한 페이지를 찾아내기가 매우 어렵다. 중요한 페이지를 구분해 내는 한가지 방법은 얼마나 많은 웹 페이지들이 참조하고 있는가 또한 얼마나 많은 사용자들이 그 웹 페이지에 접속하는가를 보는 것이다. 본 논문에서는 링크 빈도와 클릭 빈도를 이용하여 웹 페이지의 중요도를 계산하는 메타 검색엔진의 프로토타입을 구현하였다. 링크 빈도는 검색엔진에 해당 웹 페이지의 URL을 질의로 던져 구하고 클릭 빈도는 servlet을 이용하여 사용자의 클릭 행위를 감시하여 얻어내도록 하였다. 메타 검색엔진은 이 두 값의 가중치 합으로 각 페이지의 중요도를 계산하고 중요도 순으로 검색 결과를 재배열하여 사용자에게 보여 준다.