• Journal of Wetlands Research
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• v.23 no.3
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• pp.224-233
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• 2021

This study analyzed global Knowledge Sharing Platforms and collected stakeholder's suggestions to develop the "Korea-ASEAN Wetland Knowledge Sharing Platform (KSP)." As a result of the analysis, ① financial support and ② knowledge outcomes are essential to maintain the KSP and conduct the platform sustainably. Stakeholder suggest three significant projects (① comparative analysis of the inventory of wetlands in the Korea-ASEAN region, ② knowledge gap analysis in wetland research trends, and ③ establishing a web infrastructure for wetlands information sharing). The "Korea-ASEAN Wetland KSP" defined to be consistent with the international conventions (e.g., Ramsar Convention, Convention on Biological Diversity) goals by comprehensively considering the literature analysis and stakeholder suggestions. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) selected as the fundamental model of the KSP. As with IPBES, knowledge management and assessment, capacity building, policy support, communication and participation adopted as the platform's core objectives. The KSP will be able to share knowledge related to the same type of wetland ecosystem within the Korea-ASEAN region and provide necessary information for establishing science-based policies.

• Information Systems Review
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• v.5 no.1
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• pp.61-80
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• 2003

In this study, we tried to find qualification items that qualified the processing skill of information and internet application on information and communication industry. The purpose of this research is to detect operation condition of national, private, and many other qualifications using digital information application ability and then developed new qualification items which able to solve problems on present qualification items. Related works and the data analysis for this study were performed and the committee that is composed of qualification item experts, professor, and the person in charge of Korea information & communication institute was held in twice.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.115-120
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• 2018

This paper describes the design and trial development of a system that supports continuous hazard mapping by local residents in their daily life. We performed an interview survey to design our system in a model traditional town in Saga Prefecture, Japan. The results show that despite continued efforts, many practical problems remain and residents feel unsafe. Considering these results, we designed and developed a unique information and communication technology-based support system that contributes to community-based disaster prevention and reduction. The continuous resident participation and posting design are the core concept for our community-based approach. Our system continues to support making a hazard map by integrating the community-based hazard information. Local residents register information (disaster types, risk level, photographs, comments, positional information) about locations that could be dangerous in a disaster. In addition, our system enables information sharing through a Web server. We expect that this information sharing will allow local hazard information for each district to be used.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.493-504
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• 2017

Recently, tremendous amounts of unstructured text data that is distributed through news, blogs, and social media has gained much attention from many researchers and practitioners as this data contains abundant information about various consumers' opinions. However, as the usefulness of text data is increasing, more and more attempts to gain profits by distorting text data maliciously or nonmaliciously are also increasing. This increase in spam text data not only burdens users who want to obtain useful information with a large amount of inappropriate information, but also damages the reliability of information and information providers. Therefore, efforts must be made to improve the reliability of information and the quality of analysis results by detecting and removing spam data in advance. For this purpose, many studies to detect spam have been actively conducted in areas such as opinion spam detection, spam e-mail detection, and web spam detection. In this study, we introduce core concepts and current research trends of spam detection and propose a methodology to detect the spam tag of a blog as one of the challenging attempts to improve the reliability of blog information.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.97-117
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• 2012

Nowadays, Internet users tend to do a variety of actions at the same time such as web browsing, social networking and multimedia consumption. While watching a video, once a user is interested in any product, the user has to do information searches to get to know more about the product. With a conventional approach, user has to search it separately with search engines like Bing or Google, which might be inconvenient and time-consuming. For this reason, a video annotation platform has been developed in order to provide users more convenient and more interactive ways with video content. In the future of smart TV environment, users can follow annotated information, for example, a link to a vendor to buy the product of interest. It is even better to enable users to search for information by directly discussing with friends. Users can effectively get useful and relevant information about the product from friends who share common interests or might have experienced it before, which is more reliable than the results from search engines. Social networking services provide an appropriate environment for people to share products so that they can show new things to their friends and to share their personal experiences on any specific product. Meanwhile, they can also absorb the most relevant information about the product that they are interested in by either comments or discussion amongst friends. However, within a very huge graph of friends, determining the most appropriate persons to ask for information about a specific product has still a limitation within the existing conventional approach. Once users want to share or discuss a product, they simply share it to all friends as new feeds. This means a newly posted article is blindly spread to all friends without considering their background interests or knowledge. In this way, the number of responses back will be huge. Users cannot easily absorb the relevant and useful responses from friends, since they are from various fields of interest and knowledge. In order to overcome this limitation, we propose a method to filter a user's friends for information search, which leverages semantic video annotation and social networking services. Our method filters and brings out who can give user useful information about a specific product. By examining the existing Facebook information regarding users and their social graph, we construct a user profile of product interest. With user's permission and authentication, user's particular activities are enriched with the domain-specific ontology such as GoodRelations and BestBuy Data sources. Besides, we assume that the object in the video is already annotated using Linked Data. Thus, the detail information of the product that user would like to ask for more information is retrieved via product URI. Our system calculates the similarities among them in order to identify the most suitable friends for seeking information about the mentioned product. The system filters a user's friends according to their score which tells the order of whom can highly likely give the user useful information about a specific product of interest. We have conducted an experiment with a group of respondents in order to verify and evaluate our system. First, the user profile accuracy evaluation is conducted to demonstrate how much our system constructed user profile of product interest represents user's interest correctly. Then, the evaluation on filtering method is made by inspecting the ranked results with human judgment. The results show that our method works effectively and efficiently in filtering. Our system fulfills user needs by supporting user to select appropriate friends for seeking useful information about a specific product that user is curious about. As a result, it helps to influence and convince user in purchase decisions.

• Journal of KIISE:Software and Applications
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• v.33 no.11
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• pp.953-964
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• 2006

Due to the usefulness of the collaborative filtering, it has been widely used in both the research and commercial field. However, there are still some challenges for it to be more efficient, especially the scalability problem, the sparsity problem and the cold start problem. In this paper. we address these problems and provide a novel distributed approach based on agents collaboration for the problems. We have tried to solve the scalability problem by making each agent save its users ratings and broadcast them to the users friends so that only friends ratings and his own ratings are kept in an agents local database. To reduce quality degradation of recommendation caused by the lack of rating data, we introduce a method using friends opinions instead of real rating data when they are not available. We also suggest a collaborative filtering algorithm based on user profile to provide new users with recommendation service. Experiments show that our suggested approach is helpful to the new user problem as well as is more scalable than traditional centralized CF filtering systems and alleviate the sparsity problem.

• Archives of design research
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• v.13 no.3
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• pp.39-48
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• 2000

Under the ambiguous situation that design aim is not defined, this study would help designers with 1. overcoming the limitation of form generation ability by establishing visual application system, 2. accepting users'opinions by generating images dynamically, analysing and giving information on the preferred ones on the web on real time, 3. identifying tendency of preference so that they can generate preferred colors and images in future by updating image combination and dropping low-preferred ones. This system would play a role as an idea or form generation application in the product design development process.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.385-385
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• 2022

우리나라는 이수와 치수, 하천환경 기능 증대를 위해 매년 많은 예산을 하천에 투입하고 있다. 그러나 다양한 형태의 하천사업이 완료된 이후 사업의 추진과정과 사업결과로써의 실효성을 평가할 수 있는 방법이 없다는 문제점으로부터 사업구상, 사업계획 및 설계, 시공 및 관리, 사업효과 등 하천사업 추진의 통상적 과정을 종합적으로 평가할 수 있는 평가기법을 선행연구를 통해 제시한바 있다. 이러한 평가는 시스템을 통해 실시할 경우 효율성을 크게 높일 수 있다. 본 연구에서는 사업현황 및 사업공정정보를 확인하고, 예산을 관리할 수 있도록 기존에 구축된 하천사업(공사)관리시스템 상에 하천사업평가를 진행할 수 있는 기능을 추가적으로 개발하였다. 하천사업평가에 참여하는 위원들은 웹기반으로 개발된 시스템에 장소와 시간에 구애받지 않고 접속하여 평가를 진행할 수 있다. 시스템을 통해 평가에 필요한 자료는 즉각적으로 확인이 가능하고, 평가지표에 따른 점수부여 뿐만 아니라 평가의견을 기술할 수 있도록 하였다. 하천관리담당자는 시스템을 통해 개별 위원 또는 종합 평가결과를 확인하고, 유사사업과의 비교를 통해 향후 개선방향 및 유지관리 방향을 설정할 수 있다. 하천관리담당자가 신규사업을 계획하는 경우 과거 다양한 사업들의 평가결과를 확인함으로써 사업의 질적 향상 및 실효성을 높이는데 도움을 받을 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.324-327
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• 2000

There are developing the World Wide Web systems for their information sharing among certain closed user group. These systems are required five common functions as follows. First, they have to support the web service for Internet users to access easily. Second, Hey have to support the authorization service to confirm the allowed users. Third, they have to support the database service to manage the sharing information among users. Fourth, they have to support the bulletin board service for closed users to discuss. Fifth, they have to support the e-mail service to send e-mail to the certain user subset and mail archive service to save and manage the previous mail information. In this paper, we described the detail function and processing procedure of our implemente system under LINUX operating system. In addition, we described problems occurring in implementation and their solutions.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.151-164
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• 2006

The aim of this study is to develop a Diagnosis Model of Landscape(DML), which is a kind of Public Participation GIS(PPGIS) under web environment in the landscape planning field. Following the nature of public participation, DML was intended for ordinary people as well as for professional group. Therefore, DML, which is equipped with Survey Map to provide a participant with information in advance, Diagnosis Map to encourage public participation, and Image-base Map module to make a comparative study of photo-images by time series and to save photo-images, furnishes intuitive interfaces easy to use as possible. DML induces the public to participate actively in a debate on landscape problems and gathers data on diverse opinions as well. The experimental running of this DML on Uiryeong-Eup and Hamyang-Eup, Gyeongnam as case study areas, showed that it had great flexibility of use as a diagnosis model of landscape.