• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.66-82
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• 2021

Recommender Systems have gained immense popularity due to their capability of dealing with a massive amount of information in various domains. They are considered information filtering systems that make predictions or recommendations to users based on their interests and preferences. The more recent technology, Linked Open Data (LOD), has been introduced, and a vast amount of Resource Description Framework data have been published in freely accessible datasets. These datasets are connected to form the so-called LOD cloud. The need for semantic data representation has been identified as one of the next challenges in Recommender Systems. In a LOD-enabled recommendation framework where domain awareness plays a key role, the semantic information provided in the LOD can be exploited. However, dealing with a big chunk of the data from the LOD cloud and its integration with any domain datasets remains a challenge due to various issues, such as resource constraints and broken links. This paper presents the challenges of interconnecting and extracting the DBpedia data with the MovieLens 1 Million dataset. This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis. Based on the challenges, we proposed a few alternatives and solutions to some of the challenges.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.675-692
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• 2023

This study used a Chatbot, a generative artificial intelligence (AI), to analyze the interaction between the Chatbot and students when exploring critical minerals from an epistemological aspect. The results, issues to be kept in mind in the teaching and learning process using AI were discussed in terms of the role of the teacher, the goals of education, and the characteristics of knowledge. For this study, we conducted a three-session science education program using a Chatbot for 19 high school students and analyzed the reports written by the students. As a result, in terms of form, the students' questions included search-type questions and non-search-type questions, and in terms of content, in addition to various questions asking about the characteristics of the target, there were also questions requiring a judgment by combining various data. In general, students had a questioning strategy that distinguished what they should aim for and what they should avoid. The Chatbot's answer had a certain form and consisted of three parts: an introduction, a body, and a conclusion. In particular, the conclusion included commentary or opinions with opinions on the content, and in this, value judgments and the nature of science were revealed. The interaction between the Chatbot and the student was clearly evident in the process in which the student organized questions in response to the Chatbot's answers. Depending on whether they were based on the answer, independent or derived questions appeared, and depending on the direction of comprehensiveness and specificity, superordinate, subordinate, or parallel questions appeared. Students also responded to the chatbot's answers with questions that included critical thinking skills. Based on these results, we discovered that there are inherent limitations between Chatbots and students, unlike general classes where teachers and students interact. In other words, there is 'limited interaction' and the teacher's role to complement this was discussed, and the goals of learning using AI and the characteristics of the knowledge they provide were also discussed.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.116-124
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• 2018

This study aimed to interpreting the view of current media by artificial intelligence(AI) with the case of a TV show Person of Interest, which was broadcasted until 2016 in US. In this study, we first attempted to find how AI reflects the three laws of robotics, which often appear in Science Fictions. In addition, we paid attention to how the society looks according to the change of the manipulator of the AI, and as a result we derived the distinguishes of the show from other content dealing with robots or AI in terms of narrative. Through this study, we classified the messages in accordance of AI into three categories- importance of data sovereignty, potential of intelligence explosion, and blind faith in high technology. This study suggested that the show emphasizes the consciousness and attitude that should be possessed as a citizen who meets the era of AI prior to raising issue of 'what artificial intelligence is should be developed for our convenience?'

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.619-628
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• 2021

This study tried to find out the degree of emotional intelligence and moral sensitivity of nursing students and their effect on caring efficacy. Data collection was conducted online from January 14 to 23, 2021 for 143 students from 1st to 4th grade at 3 nursing colleges located in one province. For data analysis, using SPSS/WIN 23.0, descriptive statistics, independent t-test, ANOVA and Duncan test, Pearson's correlation coefficients, and multiple regression were used. As a result of the study, emotional intelligence was confirmed as an influencing factor of caring efficacy, specifically emotional utilization (p=.005), emotional regulation (p=.027), and emotional recognition of others (p=.037), and the explanatory power was 26.2%. Therefore, in order to increase the nursing students' sense of caring efficacy, it is necessary to develop nursing education and content development that can improve individual emotional intelligence of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.155-159
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• 2022

After artificial intelligence was trained with the data on the concentration of essential mineral elements in hair, the age was predicted by the concentration of mineral elements in the hair of the subject, and the result was compared with the actual age of the subject, and the correlation was investigated. The total number of hair data was 296, of which 2/3 were used for AI learning and 1/3 was used as the subject data. There was a correlation of 0. 678 between the actual age of the young subjects under the age of 25 and the age predicted by the AI. There was almost no correlation in the middle-aged subjects group, and there was a weak correlation of 0.522 in the elderly subject group. In order to secure the usefulness of artificial intelligence using hair mineral element concentration data, it is necessary to provide a larger number of data to the artificial intelligence.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.69-76
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for thesis analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected thesis, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• Review of Korean Society for Internet Information
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• v.14 no.3
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• pp.78-85
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• 2013

The revelations made possible by Edward Snowden, a contractor of the US intelligence service NSA, are a sobering reminder that the Internet is not an 'anonymous' means of communication. In fact, the Internet has never been conceived with anonymity in mind. If anything, the Internet and networking technologies provide far more detailed and traceable information about where, when, with whom we communicate. The content of the communication can also be made available to third parties who obtain encryption keys or have the means of exploiting vulnerabilities (either by design or by oversight) of encryption software. Irrebuttable evidence has emerged that the US and the UK intelligence services have had an indiscriminate access to the meta-data of communications and, in some cases, the content of the communications in the name of security and protection of the public. The conventional means of judicial scrutiny of such an access turned out to be ineffectual. The most alarming attitude of the public and some politicians is "If you have nothing to hide, you need not be concerned." Where individuals have nothing to hide, intelligence services have no business in the first place to have a peek. If the public espouses the groundless assumption that State organs are benevolent "( they will have a look only to find out whether there are probable grounds to form a reasonable suspicion"), then the achievements of several hundred years of struggle to have the constitutional guarantees against invasion into privacy and liberty will quickly evaporate. This is an opportune moment to review some of the basic points about the protection of privacy and freedom of individuals. First, if one should hold a view that security can override liberty, one is most likely to lose both liberty and security. Civilized societies have developed the rule of law as the least damaging and most practicable arrangement to strike a balance between security and liberty. Whether we wish to give up the rule of law in the name of security requires a thorough scrutiny and an informed decision of the body politic. It is not a decision which can secretly be made in a closed chamber. Second, protection of privacy has always depended on human being's compliance with the rules rather than technical guarantees or robustness of technical means. It is easy to tear apart an envelope and have a look inside. It was, and still is, the normative prohibition (and our compliance) which provided us with protection of privacy. The same applies to electronic communications. With sufficient resources, surreptitiously undermining technical means of protecting privacy (such as encryption) is certainly 'possible'. But that does not mean that it is permissible. Third, although the Internet is clearly not an 'anonymous' means of communication, many users have a 'false sense of anonymity' which make them more vulnerable to prying eyes. More effort should be made to educate the general public about the technical nature of the Internet and encourage them to adopt user behaviour which is mindful of the possibilities of unwanted surveillance. Fourth, the US and the UK intelligence services have demonstrated that an international cooperation is possible and worked well in running the mechanism of massive surveillance and infiltration into data which travels globally. If that is possible, it should equally be possible to put in place a global mechanism of judicial scrutiny over a global attempt at surveillance.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.42-50
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• 2023

The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.1-28
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• 2022

In recent years, many Internet giants have begun providing their own content services, which attract online users by offering personalized services based on artificial intelligence technologies. This study investigates the role of two firms' content services within the firms' online service network. We examine the role of Naver Webtoon, which can be characterized as a professional-generated content, within Naver's service portfolio, and that of Google YouTube, which can be characterized as a user-generated content, within Google's service portfolio. Using survey data on viewers' use of the two services, we analyze a valued directed service network, where a node denotes an online service and a relationship between two nodes denotes a sequential use of two services. We found that both Webtoon and YouTube show higher out-degree centrality than in-degree centrality, which implies these content services are more likely to be starting services rather than arriving services within the firms' interactive network. The gap between the out-degree and in-degree centrality of YouTube is much smaller than that of Webtoon. The high centrality of YouTube, a user-generated content service, within the Google service network shows that YouTube's initial role of providing specific-content videos (e.g., entertainment) has expanded into a general search service for users.