• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.23-33
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• 2014

The development of the information retrieval field is evolving to the research field searching accurately for the information from thing finding rapidly a large amount of information. Personalization and the semantic web technology is a key technology. The automatic indexing technology about the web document and throughput go beyond the research stage and show up as the practical service. However, there is a lack of research on the document information retrieval field about the attached document type of except the web document. In this paper, we illustrate about the method in which it analyzed the text content of the unstructured documents prepared in the text, word, hwp form and it how to construction OWL ontology. To build TBox of the document ontology and the resources which can be obtained from the document is selected, and we implement with the system in order to utilize as the instant of the constructed document ontology. It is effectually usable in the information retrieval and document management system using the semantic technology of the correspondence document as the ontology automatic construction of this kind of the unstructured documents.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.1-11
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• 2001

The computer subject emphasizes practice centered teaching. The materials can be used in such practice teaching play a role as resources improving poor practice teaching environment. Web courseware can be used as teaching-learning materials causing motivation and interest to learners and enabling learning activity meeting students' level and requirement. So, we developed 15 web coursewares as teaching and learning materials for middle school Computer subject in this study. The design forms of web coursewares we developed are different each other. And then, lead teachers to develope teaching and learning materials originally and to apply them to teaching variously. In addition, the practice parts of web coursewares were made of form of sham learning appling procedural simulation skill. It enables individual practice of learners, so we expect improving one to many instruction environment somewhat.

• Convergence Security Journal
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• v.7 no.3
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• pp.1-6
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• 2007

It is important to manage and correctly evaluate the performance of server in order to improve he performance of server. That is, with the aim of finding whether resources are properly utilized, it is a method to improve both software and hardware aspects. Conventional method in evaluating the server performance involved installing software between server and client and generating the load and by simulating the process, it evaluated the handing efficiency of work load generated per packet volume. Therefore, this paper aims to pro-vide precise measurement method by distinguishing the characteristics of web server and the users' usage pattern and by evaluating the work load management through applying various standards. Specially, it presents the evaluation method from web service of personal and business.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.113-123
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• 2009

As environmental issues are emerging, many efforts are globally conducted to reduce waste of energies and resources for green growth, as well as low-carbon emitting and replacement of document papers with digital files and images. On the other hand, it may require much time and efforts for users to find the proper image files on the web, where enormous un-standardized digital files are flourishing. Therefore, power and resource consumption may also grow up again in searching and retrieving files. This paper suggests efficient system design and implementation for fast and precise massive image contents retrieval for saving the energies and resources. Eventually it will contribute to green growth in computing environment.

• Spatial Information Research
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• v.23 no.3
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• pp.45-54
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• 2015

Since the V-World, the Spatial Information Open Platform service, has started in 2012, a lot of people have increased explosively every year with their interest. It is necessary to know the specific service status in order to serve as indicators of the improvement of user's environment and the service to be added in the future based on the user's increasing need. However, there is difficulty to figure out more specific service status, such as the usage of hardware resources for 2D / 3D / Portal services and the actual user usage patterns, because the current system does not have the real-time monitoring system. Therefore, in this paper, through the analysis of the usage of system resources for 2D / 3D / Portal services based on web server log and the usage of hardware resources such as CPU, Memory based on system log, we analyze the usage of service in 2015 and compare with the results of the 2014, to present problems of the current system and the solutions about the problems.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1681-1684
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• 2002

최근 XML 이라는 웹 문서 표준이 대두되면서 여러 응용 분야에서 이를 활용하려는 노력이 진행 중이다. 특히 웹 상에서 XML은 기준의 데이터베이스를 대체하여 데이터를 관리하고 조직화하며 또한 자원의 게시를 위해 사용되고 있다. 따라서 데이터베이스에 있는 데이터들을 XML문서로 변환하는 것은 필수불가분의 관계이며 좀더 쉽게 이러한 작업들을 할 수 있는 프로그램이 개발 또는 연구 중이다. 그러나 현재 개발된 XML 문서 변환기는 속성과 요소이름이 데이터베니스의 필드 이름으로 밖에 변환되지 않거나, 보통 테이블 이름이 요소로 각 필드이름이 요소 안의 속성으로 밖에 변환할 수 없다. 또한 MSSQL, MySQL, ACCESS와 같은 관계형 데이터베이스 툴 마다 호환이 되지 않으며 변환기 사용 시 인터페이스가 복잡하여 쉽게 이용할 수 없는 것이 현실이다. 본 논문은 이러한 문제점들을 해결하기 위해 효율적으로 관계형 데이터베이스 시스템에서 XML문서로 자동 변환시켜주는 웹 기반의 변환시스템을 구축하였다. 본 논문에서 제시한 변환 시스템은 데이터베이스 시스템 내의 테이블에 데이터를 입력할 경우 사용자가 원하는 형태의 XML문서로 변환이 가능하기 때문에 XML문서를 작성시 효과적으로 이용될 수 있다.

• Annual Conference on Human and Language Technology
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• 2011.10a
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• pp.9-15
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• 2011

여러 언어로 작성되는 위키피디아의 경우 언어 간에 등록되어 있는 정보의 양과 내용이 달라 언어 간 정보를 상호 추출하고 서로 통합하는 연구에 대한 관심이 증가하고 있다. 특히, 위키피디아의 요약본으로써 의미가 있는 인포박스는 위키피디아 아티클에 존재하는 구조화된 정보 중 가장 근간이 되는 정보로, 본 논문에서는 위키피디아에 존재하는 인포박스를 1)소스 언어 자원으로부터 획득하여 타겟 언어로 번역하고, 2)번역된 결과물과 웹그래프를 이용하여 타겟 언어 데이터에서 획득하는 정보와 결합하는 과정을 통해 자동으로 인포박스를 생성하는 기법에 대하여 설명한다. 웹그래프는 위키피디아에 존재하는 링크 구조를 통해 서로 다른 두 용어간의 관련도를 측정하여 인포박스에 추가될 내용을 파악하는데 사용한다. 본 논문의 기법은 언어 간 인포박스를 생성하는 측면에서, 영어 인포박스 데이터를 입력으로 하여 한국어 인포박스 데이터를 생성하는 방식으로 진행하였다. 평가를 위하여 기존 한국어에 실제 존재하는 인포박스 데이터와 비교 실험하는 방식을 사용하여 평균적으로 40%의 정확률과 83%의 재현율을 나타내었다. 하지만, 기존 한국어에 존재하는 인포박스 데이터의 내용이 인포박스에 포함될 완전한 데이터를 모두 포함했다고 볼 수 없으므로 본 논문에서 제안하는 수행한 실험의 정확률이 상대적으로 낮게 나온 것으로 분석되었다. 실제 사람이 수작업으로 새롭게 생성된 인포박스 데이터의 적합성을 판별한 경우 평균 76%의 정확률과 91%의 재현율을 나타내었다.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.225-239
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• 2010

This study aims to answer whether social tagging through user collaboration could be utilized for the creation of digital knowledge of the web, and whether we could verify the quality and efficacy of social tagging to obtain benefits from it. In particular, this paper examines the inter-indexer consistency of social tagging in comparison to professional indexing. It employs two different similarity measures, both of which are based on the Vector Space Model to deal with numerous indexers. It contributes to the utilization of social tagging in the organization of the web, and encourages to adopt social knowledge in developing suitable vocabularies for resources newly generated in the digital library environment. Furthermore, the comparative analysis with two different measures produced more credible results by illustrating a similar pattern of indexing tendency in both measures.

• 한국디지털정책학회:학술대회논문집
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• 2005.06a
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• pp.239-252
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• 2005

본 논문에서는 이론적, 실무적 선행연구들에 대한 검토를 토대로 통합적인 정보격차 요인모형을 제시하고 정보격차 요인모형에서 도출된 변수들과 기존정책들을 중심으로 표적집단심층면접법(Focus Group Interview, FGI)를 이용하여 정보취약계층인 장애인, 노인층, 저소득층을 대상으로 정보활용기회를 확대하기 위한 방안들을 실증적으로 도출하였으며 또한 기존 정책에 대한 만족도 및 효과성을 측정하였다. FGI 조사결과 취약계층별로 차별화된 정책적 요구사항이 도출되었으며, 통합적으로 정보접근, 정보이용, 정보활용을 지원할 수 있는 통합적 지원체계가 가장 절실한 것으로 나타났다. 또한, 취약계층별 개별 대상자의 개별적인 정보화수준 및 요구사항을 반영하기 위하여 개별 인적자원에 대한 통합관리가 필요한 것으로 나타났다. 아울러, 정보접근정책 및 정보이용지원정책, 정보활용지원정책별로 포괄적인 만족도 조사를 실시한 결과 공히 만족도 수준이 보통이하인 것으로 나타나 개별 정책에 대한 지원전략의 수정이 필요한 것으로 나타났다.