• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.826-828
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• 2017

그래프는 객체와 객체 간의 관계를 표현하는 데에 있어 효과적인 데이터 표현 방법이다. 그래프 데이터는 웹 그래프, 사회 관계망 서비스, 신약 개발, 생명정보학 등의 다양한 분야에서 활용되고 있으며, 그래프 마이닝 응용에서 활용되기 위한 효율적인 처리 기술을 필요로 한다. 최근까지 그래프 데이터의 처리 및 분석을 위한 많은 시스템들이 개발되었다. 본 논문에서는 최신 분산 그래프 처리 시스템 중에서 대표적인 그래프 분석 질의인 페이지랭크(pagerank)와 너비 우선 탐색(breadth first search)를 수행하고 시스템의 성능을 평가한다.

• Publications of The Korean Astronomical Society
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• v.18 no.1
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• pp.43-49
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• 2003

Korean Astronomical Data Center (KADC, http://kadc.kao.re.kr) in Korea Astronomy Observatory (KAO) has constructed an archive of Bohyunsan Optical Astronomy Observatory (BOAO) 1.8m telescope data. The archive is consisted of photometric (1KCCD, 2KCCD) and spectroscopic data of 400GB amount for the period of 1997 to 2002,and the first web service is made of the data from 1997 to 2001. In the search page, primary search criterion of object name or coordinates is used. Users can also refine the search criteria using parameters such as observation date, observer(s), data type, and/or instrument. The data identified from the search can be uploaded to the FTP site for further downloading in FITS format. This archive is the first DB of astronomical data made in Korea.

• The Journal of Korean Medicine
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• v.35 no.1
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• pp.41-49
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• 2014

Objectives: We propose a method to model and represent formulas in Korean medicine information systems. Methods: All the formulas were codified in the form of graphs representing the relationship between a formula and its constituents. To identify a unique formula in a graph, the formula's name, the book in which the formula was written, the book where the formula was extracted, and the page number in the extracted book are used. All the formulas and the relationship between formulas are modelled as an ontology based on graphs. Results: A formula search system was constructed using our ontology, which can represent formula information efficiently by grouping and filtering of formulas. Our formula model was also constructed as a mobile application. Conclusions: The information in our formula search system depends on our ontology. However, our model or our search scenarios could be extended according to formula information.

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.345-354
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• 2002

HTML pages in the web change at any time. It could cause to decrease the functionality of meta-search engines which provide users with integrated results of search engines. To solve this problem, we propose an HTML pages modification detector. It utilities information of element positions in HTML pages and the modified Jaak Vilo algorithm. The HTML page modification detector uses patterns that represent the structure of HTML expressions occurring repeatedly in HTML pages. An experiment is carried out to verify the correctness of the modification detector.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.1
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• pp.169-187
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• 2007

This study investigated search interface of Korea children's library and suggested how to improve problems. This study researched 4 types search interface of 27 children's reading room, public/private children's Korea home page designs and International Children's Digital Library. To sum up, when interface designers design children's search interface, they should consider following factors. The size of letters are avaliable changed which little readers want to the size of letters. Avaliable to imput the keyboard or the mouse. The size of icons should design easy to click children in size. Children's interface should design user oriented.

• Journal of the Korea Computer Industry Society
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• v.3 no.3
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• pp.331-340
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• 2002

The web world is getting so huge and untractable that without an intelligent information extractor we would get more and more helpless. Conventional web spidering techniques for general purpose search engine may be too slow for the specific search engines, which concentrate only on specific areas or keywords. In this paper a new model for improving web spidering capabilities is suggested and experimented. How to select adequate reference web pages from the initial web Page set relevant to a given specific area (or keywords) can be very important to reduce the spidering speed. Our reference web page selection method DOPS dynamically and orthogonally selects web pages, and it can also decide the appropriate number of reference pages, using a newly defined measure. Even for a very specific area, this method worked comparably well almost at the level of experts. If we consider that experts cannot work on a huge initial page set, and they still have difficulty in deciding the optimal number of the reference web pages, this method seems to be very promising. We also applied reinforcement learning to web environment, and DOPS-based reinforcement learning experiments shows that our method works quite favorably in terms of both the number of hyper links and time.

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1180-1195
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• 2004

Due to the exponential increase of information, search and access for the Web information or service takes much time. Web information is represented through several web pages using hyperlinks and each web page is contains several topics. However. most existing web tools don't reflect such web authoring tendencies and treat it as an independent information unit. This inconsistency yields inherent problems in web browsing and searching. In this paper, we propose a web surfing assistant called LinkBroker that provides collodion pages. They are composed of relevant information extracted from several web pages that have table and frame structure in order to improve accessibility to web information. Especially, the system extracts a set of web pages that are logically connected and groups those pages using table and frame tags. Then, essential information blocks in each page of a group are extracted to construct an integrated summary page. It Provides a comprehensive view to user and one cut way to access distributed information. Experimental results show the effectiveness and usefulness of LinkBroker system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.424-431
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• 2012

In information retrieval, search engine provide the rank of web page and the summary of the web page information to user. Snippet is a summaries information of representing web pages. Visiting the web page by the user is affected by the snippet. User sometime visits the wrong page with respect to user intention when uses snippet. The snippet extraction method is difficult to accurate comprehending user intention. In order to solve above problem, this paper proposes a new snippet extraction method using fuzzy implication operator and relevance feedback. The proposed method uses relevance feedback to expand the use's query. The method uses the fuzzy implication operator between the expanded query and the web pages to extract snippet to be well reflected semantic user's intention. The experimental results demonstrate that the proposed method can achieve better snippet extraction performance than the other methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1277-1284
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• 2023

In this paper, a web page that is easy for consumers to access event products in progress at convenience stores was created. In the production process, static crawling and dynamic crawling, two crawling methods for extracting data from event products, were compared and used. Static crawling is an extraction method of collecting static data from a homepage, and dynamic crawling is a method of collecting data from pages dynamically generated from a web page. Through the comparison of the two crawlings, we studied which crawl method is more effective in extracting event product data. Among them, a web page was created using effective static crawling, and 1+1 and 2+1 products were categorized and a search function was added to create a web page.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.91-94
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• 2007

구글이나 야후와 같은 정보검색엔진은 사용자에게 편리성을 제공하나 사용자로 하여금 만족감을 제공하지는 못하고 있다. 이것은 사용자에 대한 검색목표가 사용자 프로파일마다 서로 다르기 때문이다. 따라서 검색엔진으로 검색된 결과를 사용자 프로파일에 따라서 재배치하는 것은 매우 필요하다. 이 논문에서는 키워드기반 검색엔진으로 검색된 결과를 사용자 프로파일에 따라 웹문서를 재배치하는 알고리즘을 제안한다. 각 키워드에 대한 가중치는 사용자가 웹문서에 대해서 수행한 행동 즉, 다운로드, 클릭, 아무행동 안함에 따라 차등 적용하여 업데이트하여 웹문서를 리스트하여 사용자에게 제공한다.