• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.338-343
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• 2016

Today, opinion reviews on the Web are often used as a means of information exchange. As the importance of opinion reviews continues to grow, the number of issues for opinion spam also increases. Even though many research studies on detecting spam reviews have been conducted, some limitations of gold-standard datasets hinder research. Therefore, we introduce a new dataset called "Paraphrased Opinion Spam (POS)" that contains a new type of review spam that imitates truthful reviews. We have noticed that spammers refer to existing truthful reviews to fabricate spam reviews. To create such a seemingly truthful review spam dataset, we asked task participants to paraphrase truthful reviews to create a new deceptive review. The experiment results show that classifying our POS dataset is more difficult than classifying the existing spam datasets since the reviews in our dataset more linguistically look like truthful reviews. Also, training volume has been found to be an important factor for classification model performance.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.5
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• pp.401-410
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• 2013

Due to the increasing need for spatial information, there have been a lot of research related with monitoring and revision of changed regions for the acquisition of the accurate and latest information. In this paper, the optimal monitoring management plan for changed regions with respect to the revision periods was proposed. For this purpose, the representative monitoring methods, which are based on database, professional manpower and crowdsourcing of continuous revision, and aerial imagery, satellite imagery and LiDAR of cyclic revision, were investigated. Then, the properties and application status of monitoring systems in Korea were illustrated according to the methods. Finally, the optimal monitoring management plan for continuous and cyclic revisions was suggested through the comparison of properties and revisionable objects of each method. From the result, it was shown to be appropriate for the optimal monitoring management plan of continuous revision as using Internet-Architectural Information System (e-AIS) database cooperated with professional manpower and crowdsourcing, and cyclic revision as using domestic high-resolution satellite images and LiDAR data processed semi-automatically.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.135-144
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• 2017

Sentiment analysis refers to a way of analyzing the writer's subjective opinions or feelings through text. For effective sentiment analysis, it is essential to build emotional word polarity lexicon. This paper introduces a crowdsourcing-based game that we have developed for efficiently building a polarity lexicon in Korean. First, we collected a corpus from the relating Internet communities using a crawler, and we classified them into words using the Twitter POS analyzer. These POS-tagged words are provided as a form of mobile platform based tagging game in which the players voluntarily tagged the polarities of the words, and then the result was collected into the database. So far we have tagged the polarities of about 1200 words. We expect that our research can contribute to the Korean sentiment analysis research especially in the game domain by collecting more emotional word data in the future.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.313-318
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• 2016

The recommendation service is changing from client-server based internet service to social networking. Especially in recent years, it is serving recommendations with personalization to users through crowdsourcing and social networking. The social networking based systems can be classified depending on methods of providing recommendation services and purposes by using memory and model based collaborative filtering. In this study, we proposed the social network based sensibility design recommendation using associative user. The proposed method makes {user - associative design} matrix through the social network and recommends sensibility design using the memory based collaborative filtering. For the performance evaluation of the proposed method, recall and precision verification are conducted. F-measure based on recommendation of social networking is used for the verification of accuracy.

• Journal of the HCI Society of Korea
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• v.6 no.2
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• pp.11-20
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• 2011

The mass collaboration, one of the newest solutions for web-related tasks, has been recognized to be an effective tool for the R&D sectors of the corporates, since the key advantages of crowdsourcing is that the industrial challenges can be shared with the public entities to find proper solutions. This research approaches to the possibility of the design adoption with participation thorough the Internet will positively effect to its process. This research tried to look around the current trend of web 2.0 based services which support the Mass Collaboration method and results of paper related to the Crowdsourcing and design integration. Following to the analysis of web research, we meet the conclusion as just a small number of users' opinion has helped designing new product and service. And we compared it to the conventional design process detail functions, less number of websites support it. However, the result of paper research shows optimistic results of collective design activity. Several cases emphasize that participants were very active to support their thoughts, memories and novel design idea, therefore designer and researchers got enormous help from them and it was better than conventional participatory design in some perspective.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.297-320
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• 2018

This study aims to improve the access and retrieval of images and to find a way to effectively generate tags as a tool for providing explanation of images. To do this, this study investigated the features of human tagging and machine tagging, and compare and analyze them. Machine tags had the highest general attributes, some specific attributes and visual elements, and few abstract attributes. The general attribute of the human tag was the highest, but the specific attribute was high for the object and scene where the human tag constructor can recognize the name. In addition, sentiments and emotions, as well as subjects of abstract concepts, events, places, time, and relationships are represented by various tags. The tag set generated through this study can be used as basic data for constructing training data set to improve the machine learning algorithm.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.53-70
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• 2019

As information security becomes more important as the fourth industrial revolution gradually emerges, an efficient and effective way to find vulnerabilities in information systems is becoming an essential requirement of information security. As the point of the protection of current information and the protection of the future industry, the Korean government has paid attention to the bug bounty, which has been recognized for its efficiency and effectiveness and has implemented through the Korea Internet Security Agency's S/W vulnerability bug bounty program. However, there are growing problems about the S/W vulnerability bug bounty program of the Korea Internet Security Agency, which has been operating for about 7 years. The purpose of this study is to identify the problems in Korean bug bounty policies through the characteristics of the bug bounty program, and to suggest the direction of the government's policy to activate the bug bounty like changes in the government's approach utilizing the market.

• Genomics & Informatics
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• v.18 no.2
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• pp.21.1-21.7
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• 2020

Scientific research is mostly published in English, regardless of the researcher's nationality. However, this growing practice impairs or hinders the comprehension of professionals who depend on the results of these studies to provide adequate care for their patients. We suggest that machine translation (MT) can be used as a way of providing useful translation for biomedical articles, even though the translation itself may not be fluent. To tackle possible mistranslation that can harm a patient, we resort to crowd-sourced validation of translations. We developed a prototype of MT validation and edition, where users can vote for that translation as valid, or suggest modifications (i.e., post-editing the MT). A glossary match system is also included, aiming at terminology consistency.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.3
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• pp.27-34
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• 2015

The authors consider, that the effectiveness of the government's activity, the improvement of decisions' quality depends on implementation of modern innovative technologies through activation the direct and feedback connection between public authority system and the business -community, through increasing the level of their collaboration by participating in solving main social problems and discu ssing innovative projects (initiative) according questions about socio-economic development of the country, improving the system of the state and local government in the Republic of Kazakhstan.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.515-516
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• 2011

We proposal social network service available for disaster and include crowd-soucing in order to improve using only for notification information. Therefore, We design new mash-up which is gathering disaster information from twitter. The mash-up has differences with current systems, because it does not use application software for acquisition disaster information.