• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.37-45
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• 2012

The case of South Korea's Internet newspapers, harmful advertising is illegal but rampant. The children and youth are not protected, so effective measures are urgently required. Therefore, to achieve self-regulation, a discrimination system model using collective intelligence and collective emotions is proposed. This study is to suggest a Discrimination System Model of harmful contents using collective intelligence and collective emotions as the actual program of self-regulation. The Discrimination System model forms the level of harmful contents by using contents, form, text, size as well as the implied and reminiscent story of image as discriminant factors of a group testing. The formed level is established for harmful contents discriminant criteria after going through the process of generalization again. It can be not clear and ambiguous for internet newspaper banner ads to be measure the level of harmfulness. This Discrimination System will have the strengths of resolving this problem.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.185-193
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• 2015

The wisdom contents consists of an ordinary person's ideas and experience. The Wisdom Market [1] is an online business model where wisdom contents are traded. Thus, the general public could do business activities in the Wisdom Market at ease. As the wisdom contents are themselves the thought of persons, there exists many similar or duplicated contents. Existing copyright protection schemes mainly focus on the primary author's right. Thus, it's not appropriate for protecting the contents of Collective Intelligence that requires to protect the rights of collaborators. There should exist a new method to be dynamic capable of combining and deleting rights of select collaborators. In this study, we propose collective copyright authentication scheme suitable for the contents of Collective Intelligence. The proposed scheme consists of collective copyright registration, addition and verification protocols. It could be applied to various business models that require to combine multiple rights of similar contents or to represent multiple authorships on the same contents.

• Journal of The Korean Association For Science Education
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• v.33 no.5
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• pp.963-980
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• 2013

The purpose of this study was to investigate the process of constructing pre-service teachers' scientific knowledge information through collective intelligence. We selected the 'Appropriate Technology' (A.T.) as the subject for formation of scientific knowledge. Twenty nine pre-service teachers of the course 'Scientific Thinking and Writing in Science Education' were allowed to freely post information whenever they wanted. They presented their full opinions, interacted with each other, and assessed the other' information on the website for a month. The way of posting was as follows. After one pre-service teacher had written the information about A.T. on the website, the other assessed the text and added or modified the writing. This process continued. We analyzed every writing they posted and questionnaire which contained the reason why they modified the text. The result was as follows. Pre-service teachers formed collective intelligence through four stages. First, pre-service teachers started to find the information related to the subject and they just added the information behind the other's writing. In the second stage, information was added, too. But the difference was that the information they selected carried values for having certain views. Third, they organized their writings with logical and critical thinking. Finally, they revised their overall writing. The results showed that students could develop their critical thinking and they could learn the way of communication from the process of collective intelligence. We found the forming process of knowledge by collective intelligence, and explored the various involving patterns and thinking activities in the process. Based on this research, we expect the improvement of students' logical and critical thinking through the various classes using collective intelligence.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.533-538
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• 2015

Collective intelligence is related to several areas such as sociology, business administration, political science, and computer science. This paper can be classified as a product of social engineering of the era of liberal arts and science convergence, fusion, consilience. Members today have higher need for self-actualization and contribution. As the business is changing fast and getting more complicated, a mechanism of natural science is necessary in social organization. The mechanisms of collective intelligence are composed of divergence process and convergence process. And the seven steps were designed that the first letter of each steps leads to 'PROCESS'. When implemented by applying the procedures that reflect the opinions of members throughout this paper, there are members who participated in the decision-making process will contribute to actively participate in the decision when to run, and specific tools and techniques in online communities are for future studies.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.3
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• pp.339-346
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• 2016

Semantic search recently been used in the search field. POI is one of the most essential information that make up the geographic information, and many of the geographic information system has POI search function as a basic. In this study, we propose POI semantic search using collective intelligence. For this, we designed and implemented service that constructs empirical information from tag and image, and provides an intuitive spatial navigation experience. For POI search, collective intelligence platform that many users can participate to collect variety information was designed and implemented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1698-1711
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• 2011

Knowledge is often represented as a set of rules or a semantic network in intelligent systems. Recently, ontology has been widely used to represent semantic knowledge, because it organizes thesaurus and hierarchal information between concepts in a particular domain. However, it is not easy to collect semantic relationships among concepts. Much time and expense are incurred in ontology construction. Collective intelligence can be a good alternative approach to solve these problems. In this paper, we propose a collective intelligence approach of Games With A Purpose (GWAP) to collect various semantic resources, such as words and word-senses. We detail how to construct the semantic information model or ontology from the collected semantic resources, constructing a system named FunWords. FunWords is a Korean lexical-based semantic resource collection tool. Experiments demonstrated the resources were grouped as common nouns, abstract nouns, adjective and neologism. Finally, we analyzed their characteristics, acquiring the semantic relationships noted above. Common nouns, with structural semantic relationships, such as hypernym and hyponym, are highlighted. Abstract nouns, with descriptive and characteristic semantic relationships, such as synonym and antonym are underlined. Adjectives, with such semantic relationships, as description and status, illustration - for example, color and sound - are expressed more. Last, neologism, with the semantic relationships, such as description and characteristics, are emphasized. Weighting the semantic relationships with these characteristics can help reduce time and cost, because it need not consider unnecessary or slightly related factors. This can improve the expressive power, such as readability, concentrating on the weighted characteristics. Our proposal to collect semantic resources from the collective intelligence approach of GWAP (our FunWords) and to weight their semantic relationship can help construct the semantic information model or ontology would be a more effective and expressive alternative.

• Journal of the Korean association of regional geographers
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• v.19 no.4
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• pp.787-804
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• 2013

The purpose of this study is to explore the effect of 'World Cafe' conversations for collective intelligence. For this purpose, 'World Cafe' was applied to the class 'presentation and discussion' of university class. To explore the effect of 'World Cafe' conversations for collective intelligence I surveyed the responses of students participating in the class and analyzed results of the survey and class activities. The results are as follows: first, 82 percent of all students were actively involving in the class, second, topics were more discussed through World Cafe class than general discussion class. These results suggest 'World Cafe' class induced active participation of the students in class and have the effect producing the collective intelligence.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.908-910
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• 2007

As web environment receives web2.0, producer-oriented services are changing user-oriented. This trend is considered the collective intelligence made by users' knowledge. But in contrast with a change of web, structure of current education is composed of educators as producers. Accordingly, it is difficult to reflect needs of educatees who are real users in education system. So we study online education for advance of its environment which is applied to collective intelligence.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2997-3004
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• 2014

The legacy on-line translation service limits the participation to general users except clients and translators while the automatic translation service guarantees no exactness and perfectness on the translated results. This paper proposes a web-based translation service with business model that permits the participation of general users as well as translators and clients to modify and evaluate the transient contents of the translation ultimately leading to the collective intelligence.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.145-160
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• 2017

This paper aims to investigate the effects of Smart-Work IT resources on job performance. The survey was conducted amongst the business workers who are currently engaged in domestic major companies as well as small businesses, and analyzed based on the frequency, factor and reliability. Using PROCESS Macro, we conducted an analysis of the relationship between the IT resources and job performance, treating collective intelligence as a mediating parameter. The results of the study are as follows. First, the IT resources of the companies were found to have a meaningful effect on job performance. Second, the IT resources were found to have no effect on employee productivity except through their effect on the collective intelligence. Finally, while openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow improvement, participation, openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow coordination, In the future, it is necessary to compare quantitatively the financial performance of Smart-Work adopters and others in the same industry or to compare the financial performance before and after introducing Smart-Work dynamically within the same company.