• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.49-67
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• 2015

Recently, emerging the notion of big data and social media has led us to enter data's big bang. Social networking services are widely used by people around the world, and they have become a part of major communication tools for all ages. Over the last decade, as online social networking sites become increasingly popular, companies tend to focus on advanced social media analysis for their marketing strategies. In addition to social media analysis, companies are mainly concerned about propagating of negative opinions on social networking sites such as Facebook and Twitter, as well as e-commerce sites. The effect of online word of mouth (WOM) such as product rating, product review, and product recommendations is very influential, and negative opinions have significant impact on product sales. This trend has increased researchers' attention to a natural language processing, such as a sentiment analysis. A sentiment analysis, also refers to as an opinion mining, is a process of identifying the polarity of subjective information and has been applied to various research and practical fields. However, there are obstacles lies when Korean language (Hangul) is used in a natural language processing because it is an agglutinative language with rich morphology pose problems. Therefore, there is a lack of Korean natural language processing resources such as a sentiment lexicon, and this has resulted in significant limitations for researchers and practitioners who are considering sentiment analysis. Our study builds a Korean sentiment lexicon with collective intelligence, and provides API (Application Programming Interface) service to open and share a sentiment lexicon data with the public (www.openhangul.com). For the pre-processing, we have created a Korean lexicon database with over 517,178 words and classified them into sentiment and non-sentiment words. In order to classify them, we first identified stop words which often quite likely to play a negative role in sentiment analysis and excluded them from our sentiment scoring. In general, sentiment words are nouns, adjectives, verbs, adverbs as they have sentimental expressions such as positive, neutral, and negative. On the other hands, non-sentiment words are interjection, determiner, numeral, postposition, etc. as they generally have no sentimental expressions. To build a reliable sentiment lexicon, we have adopted a concept of collective intelligence as a model for crowdsourcing. In addition, a concept of folksonomy has been implemented in the process of taxonomy to help collective intelligence. In order to make up for an inherent weakness of folksonomy, we have adopted a majority rule by building a voting system. Participants, as voters were offered three voting options to choose from positivity, negativity, and neutrality, and the voting have been conducted on one of the largest social networking sites for college students in Korea. More than 35,000 votes have been made by college students in Korea, and we keep this voting system open by maintaining the project as a perpetual study. Besides, any change in the sentiment score of words can be an important observation because it enables us to keep track of temporal changes in Korean language as a natural language. Lastly, our study offers a RESTful, JSON based API service through a web platform to make easier support for users such as researchers, companies, and developers. Finally, our study makes important contributions to both research and practice. In terms of research, our Korean sentiment lexicon plays an important role as a resource for Korean natural language processing. In terms of practice, practitioners such as managers and marketers can implement sentiment analysis effectively by using Korean sentiment lexicon we built. Moreover, our study sheds new light on the value of folksonomy by combining collective intelligence, and we also expect to give a new direction and a new start to the development of Korean natural language processing.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.1-18
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• 2015

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommending proper items to users.

• The Korean Journal of Air & Space Law and Policy
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• v.31 no.2
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• pp.3-35
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• 2016

The United States Constitution gives power to the federal district courts to hear admiralty cases. 28 U.S.C. §.133, which states that "The district courts shall have original jurisdiction, exclusive of the Courts of the States, of any civil case of admiralty or maritime jurisdiction." However, the determination of whether a case is about admiralty or maritime so that triggers admiralty jurisdiction was not a simple question. Through numerous legal precedents, the courts have drawn a line to clarify the boundary of admiralty cases. This unique jurisdiction is not determined by the mere involvement of a vessel in the case or even by the occurrence of an event on a waterway. As a general rule, a case is within admiralty jurisdiction if it arises from an accident on the navigable waters of the United States (locus test) and involves some aspect of maritime commerce (nexus test). With regarding to the maritime nexus requirement, the US Supreme Court case, Executive Jet Aviation, Inc. v. City of Cleveland, held that federal courts lacked admiralty jurisdiction over an aviation tort claim where a plane during a flight wholly within the US crashed in Lake Erie. Although maritime locus was present, the Court excluded admiralty jurisdiction because the incident was "only fortuitously and incidentally connected to navigable waters" and bore "no relationship to traditional maritime activity." However, this historical case left a milestone question: whether an aircraft disaster occurred on navigable water triggers the admiralty jurisdiction, only for the reason that it was for international transportation? This article is to explore the meaning of admiralty jurisdiction over aviation accidents at US courts. Given that the aircraft engaged in transportation of passenger and goods as the vessels did in the past, the aviation has been linked closely with the traditional maritime activities. From this view, this article reviews a decision delivered by the Seventh Circuit regarding the aviation accident occurred on July 6, 2013 at San Francisco International Airport.

• Journal of Agricultural Extension & Community Development
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• v.21 no.4
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• pp.967-1006
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• 2014

This study attempted to provide policy recommendations in promoting new cooperatives established in agriculture based on the 2012 Cooperative Act. A questionnaire survey was conducted with 195 newly established cooperatives as the policy target of this study. The new cooperatives were classified as three kinds namely as 'Business' Cooperatives', 'Consumers' Cooperatives', 'Social Cooperatives' based on their member attributes and objectives. Interesting to note that, all of these new cooperatives born by the new Act has taken the marketing business as their main stream business. Among the three types, 'Business Cooperatives' are ranked the highest amount of capital shares per person in average, having about 30 members in size. In categorization, 'Business Cooperatives' include farmer cooperatives as majority and employee cooperatives. They are usually involved in both production and marketing and even in processing activities, and have tried to secure their business performance by e-commerce and stable business contracts. Their diverse activities are highly associated with their local community. Consumers' Cooperatives include consumer cooperatives and stakeholder cooperatives in achieving welfare of members. This type has lower share in capital but has over 30 members in a cooperative, taking marketing (distribution) business as main and often take advantage of their social network and physical store. Regional relationships are less than producer cooperatives. 'Social Cooperatives' are established by public interest and have around 10 members and lowest per capital. their business and community activity is similar to the consumer cooperatives. This study recommends the needs of designing suitable business models by these three types of cooperatives in the future, while appropriating their membership size for their tangible business operations. The government policy direction should aim to develop their new business opportunities and its management stabilization, especially in conjunction with the existing agricultural cooperatives (Nonghyup). It must be rather than to provide simply policy supports for establishment. An in-depth study is recommended in this regard.

• Asia pacific journal of information systems
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• v.19 no.1
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• pp.147-165
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• 2009

Virtual community(VC) will increasingly be organized as commercial enterprises, with the objective of earning an attractive financial return by providing members with valuable resources and environment. For example, Cyworld.com in Korea uses several community services to enable customers of Cyworld to take control of their own value as potential purchasers of products and services. Although initial adoption is important for online network service success, it does not necessarily result in the desired managerial performance unless the initial usage is continuously related to the continuous usage and purchase. Particularly, the customer who receives relevant online services and is well equipped with online network services, will trust the online service provider and perceive less risk and experience more activities such as continuous usage and purchase. Thus, how to promote continued online service usage or, alternatively, how to prevent discontinuance is a critical issue for VC service providers to consider. By aggregating a wide range of information and online environments for customers and providing trust to its members, the service providers of virtual communities help to reduce the perceived risk of continuous usage and purchase. Drill down, online service managers realize that achieving strong and sustained customers who continuously use online service and purchase on it is crucial. Therefore, the research into this online service continuance will identify the relationship between the initial usage and the continuous usage and purchase. The research of continuous usage or post adoption has recently emerged as an important issue in the IS literature. Individuals' information systems(IS) continuous usage decisions are congruent with consumers' repeat purchase decisions. The TAM(Technology Acceptance Model) paradigm has been strongly confirmed across a wide range from product purchase on EC to online service usage contexts. The analysis of IS usage based on TAM has proven to be successful across almost online service contexts. However, most of previous studies have focused on only an area (i.e., VC or EC). Just little research has tried to analyze the relationship between VC and EC. The effect of some factors on user intention, captured through several theories such as TAM, has been demonstrated. Yet, few studies have explored the salient relationships of VC users' EC acceptance. To fill this gap between VC and EC research, this paper attempts to develop a research model that extends the TAM perspective in view of the additional contributions of trust in the service provider and trust in members on some factors that affect EC and VC adoption. In this extension, we applied the TAM-to-TAM(T2T) model, and analyzed the transfer effect of trust between these two TAMs. The research model was empirically tested on the context of a social network service. The model was to extend TAM with the trust concept for the virtual community environment from the perspective of tasks. By building an extended model of TAM and examining the relationships between trust and the existing variables of TAM, it is aimed to explain a user's continuous intention to use VC and purchase on EC. The unit of analysis in this paper is an individual user of a virtual community. The population of interest is the individual with the experiences in virtual community. The data for this paper was made available via a Web survey of VC users. In total, 281 cases were gathered for about one week, but there were some missing values in the sample and there were some inappropriate cases. Thus, only 248 cases were finally analyzed. We chose the structural equation analysis to test the hypotheses and it is better suited for explaining complex relationships than the other methods. In this test, AMOS was used to test the Structural Equation Model (SEM). Noticeable results have been found in the T2T model regarding the factors affecting the intention to use of virtual community and loyalty. Our result showed that trust transfer plays a key role in forming the two adoption beliefs. Overall, this study preliminarily confirms the salience of trust transfer in online service.

• Journal of Preventive Medicine and Public Health
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• v.18 no.1
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• pp.73-82
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• 1985

This study was conducted to evaluate nutritional status with the analysis of the factors which might influence on the prevalent condition of nutrients-intake. 373 persons who are above 60 years old in Chung-Gu, Seoul were surveyed from March 15 to March 30 in 1985. Results were as follows ; 1. General Characteristics 1) Male respondents among the entire respondents comprised 54.3% and female respondents comprised 45.7%. As for age, male and female respondents comprised 55.0% and 37.2% respectively. 2) As for the educational level of the respondents, illiteracy was 49.9% which was the highest. and those who graduated elementary school was 28.1% which was the second highest. And as for the comparison of the education of the male and female respondents, the educational level of male respondents was much higher than that of female respondents. 3) As for the final occupation of the respondents, those who were engaged in commerce comprised 30.8% which was the highest rate, and who were engaged in agriculture comprised 20.1% which was the second highest rate. And those who were engaged in labor comprised 12.3%. 2. The State of Nutrients-intake The energy of the male respondents was 61.4% of RDA and the protein was nothing but 66.8% of RDA. Except vitamin A, vitamin $B_1$ and niacin, calcium, iron, vitamin $B_2$, vitamin C were lower than RDA (the range: $67.5%{\sim}97.3%$). The energy of the female respondents was 70.0% of RDA and the protein was 58.8% which were lower than RDA. Except vitamin A and vitamin $B_1$, calcium, iron, vitamin $B_2$ vitamin C, niacin were lower than RDA (the range: $68.2%{\sim}98.9%$). 3. The various factors related to nutrients-intake 1) The composition of family and the food environment those who were living with their spouses comprised 44.8% which was the highest rate, and those who were living with their son's family comprised 33.5% which was the second highest rate and those who were living with their doughter's family comprised only 4.6%. Those who were living alone comprised 16.4%. The correlation with nutrient intake didn't show a clear relation. 2) Socio-economic state Those who said that they lacked in living expense comprised 32.7% and those who said that they lacked in pocket-money comprised 23.9%, The female respondents outnumbered the male respondents in lacking living expense or pocket-money. In the correlation with socio-economic, there was no striking relation with education level. However, it was shown that little relation in energy, fat in male and also fat and iron in female. The living expense and the satisfaction in pocket-money had also little relation with energy fat and vitamin C in male. 3) Nutrition knowledge and food habit (a) The state of nutrition knowledge and food habit In nutrition knowledge, those who scored less than 60 points were 32.9%, and those who scored more than 90 points were 21.0%. In food habit, those who scored less than 60 points were 26.5% and those who scored more than 80 points were 45%. (b) The corelation with nutrition knowledge and food habit In case of female respondents, nutrition knowledge had a little relation with the intake of cabohydrate, iron, and vitamin C. And we couldn't see a distinct phenomenon in food habit.

• Asia pacific journal of information systems
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• v.22 no.4
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• pp.75-99
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• 2012

Innovation can come from inside or outside organizations. Recently, organizations have begun turning to external knowledge more often, through various forms of collective intelligence (CI) as collaborative platform to solve complex problems. Several factors facilitate this CI utilization phenomenon. First, with the rapid development of Internet and social media, numerous web applications have become available to millions of the Internet users over the past few decades. Web 2.0 and social media have become innovative web applications that provide an environment for human social interaction and collaboration. Second, the diffusion of simple and easy-to-use technologies that enable users to interact and design web applications without programming skills have led to vast, previously unknown amounts of user-generated content. Finally, the Internet has enabled communities to connect and collaborate, creating a virtual world of CI. In this study, web enabled CI is defined as a composed ability of individuals who are acting as a single cognitive unit to achieve common goals, think reasonably, solve problems, make decisions, carry out complex tasks, and develop creative ideas collectively through participation and collaboration on the web. Although CI plays a critical role in organizational innovation and collaboration, the dubious quality of CI is still problem that is difficult to solve. In general, the quality level of content collected from the crowd is lower than that from professionals. Thus, it is important to identify determinants of CI quality and to analyze the relationship between CI quality and its usefulness. However, there is a lack of empirical study on the quality factors of web-enabled CI. There exist a variety of web enabled CI sites such as Threadless, iStockphoto or InnoCentive, Wikipedia, and Youtube. One of the most successful forms of web-enabled CI is the Wikipedia online encyclopedia, accessible all over the world. Another one example is Naver KnowledgeiN, a typical and popular CI site offering question and answer (Q&A) services. It is necessary to study whether or not different types of CI have a different effect on CI quality and its usefulness. Thus, the purpose of this paper is to answer to following research questions: ${\bullet}$ What determinants are important to CI quality? ${\bullet}$ What is the relationship between CI quality factors and the usefulness of web-enabled CI? ${\bullet}$ Does CI type have a moderating effect on the relationship between CI quality, its determinants, and CI usefulness? Online survey using Google Docs with email and Kakao Talk was conducted for collecting data from Wikipedia and Naver KnowledgeiN users. A totoal of 490 valid responses were collected, where users of Wikipedia were 220 while users of Naver KnowledgeiN were 270. Expertise of contributors, community size, and diversity of contributors were identified as core determinants of perceived CI quality. Perceived CI quality has significantly influenced perceived CI usefulness from a user's perspective. For improving CI quality, it is believed that organizations should ensure proper crowd size, facilitate CI contributors' diversity and attract as many expert contributors as possible. Hypotheses that CI type plays a role of moderator were partially supported. First, the relationship between expertise of contributors and perceived CI quality was different according to CI type. The expertise of contributors played a more important role in CI quality in the case of Q&A services such as Knowledge iN compared to wiki services such as Wikipedia. This implies that Q&A service requires more expertise and experiences in particular areas rather than the case of Wiki service to improve service quality. Second, the relationship between community size and perceived CI quality was different according to CI type. The community size has a greater effect on CI quality in case of Wiki service than that of Q&A service. The number of contributors in Wikipeda is important because Wiki is an encyclopedia service which is edited and revised repeatedly from many contributors while the answer given in Naver Knowledge iN can not be corrected by others. Finally, CI quality has a greater effect on its usefulness in case of Wiki service rather than Q&A service. In this paper, we suggested implications for practitioners and theorists. Organizations offering services based on collective intelligence try to improve expertise of contributeros, to increase the number of contributors, and to facilitate participation of various contributors.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.6
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• pp.126-133
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• 2009

This study aimed to propose the base data to promote the green belt(thereafter GB) regulations and management in Korea. The research took the methods of analysis of citizen's official petitions to the once, of interviews and questionnaire to the of officials of Seoul Metropolitan City who is under the job of managing the GB. The conclusions were as follows. The officials did understand function and necessity of GB well. They especially, put the importance of the purpose of GB on the prevention of the environment of the city and prevention of concentration of population, They recognized that they suffered from the overloaded job on the management of GB in quantity and quality. The seriousness of illegal action of the change of land use, piling-up of materials and productions on the forbidden land, using exclusively of warehouses for agriculture as for commerce and enlarging the area of warehouse with application of leased land for agriculture instead of the agricultural land in law were detected in the officials' cognition. The officials proposed some ideas to prevent above mentioned illegal actions including forcing a person who did illegal actions to punish money to restore environment etc..

• Korean Journal of Heritage: History & Science
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• v.53 no.3
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• pp.258-277
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• 2020

The purpose of this paper is to examine the paintings and symbols of the Jeju Guandeokjeong murals, Treasure No. 322. Gwandeokjeong Pavilion in Jeju is one of the oldest buildings in Jeju and was built in 1448 during the reign of King Sejong (世宗) of the Joseon Dynasty to serve as a training ground for soldiers. Unlike Gwandeokjeong Pavilions in other regions, Jeju's Gwandeokjeong Pavilion has a long history and is of cultural value due to its beautiful architecture. In addition, it contains various murals which are a further source of attention. There are four murals on the front and back of the two Lintels on the left and right sides of the building. Their contents include of 『The Three Kingdoms (三國志)』 and and on the back. Towards the right, is depicted, with on the back. Based on a replica of the murals from 1976, the plan, style, and age of the Gwandeokjeong Pavilion murals have been studied, together with their meanings. The contents of the mural are broadly divided into five parts, which are identified by the tacit signatures atop the screen, which provide such details as the painting titles. The paintings on the left and right sides of the center appear to inspire the spirit of the military's commerce in order to boost soldiers' morale, protect the country, and protect the people in line with the purpose of Gwandeokjeong Pavilion. The following and figuratively depict guidelines for the behavior and mindset of officials. In particular, is a painting concerned with concepts of longevity and an auspicious (吉祥), which shows how court paintings became popular as folk paintings at that time. The paintings of tangerines and other specialties of Jeju Island, the ritual paintings of Jeokbyeokdaejeon, and the expressions of Mt. Halla (漢拏山) and Oreum (오름) indicate the existence of Jeju artists that belonged to the Jeju government office at that time. The five themes and styles of the murals also show that the murals of Gwandeokjeong Pavilion were produced in the late 19^th and early 20^th centuries.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.2
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• pp.92-102
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• 2013

This study aimed to reveal the establishment process and spatial composition of TaiSho park in modern Busan. The TaiSho park is an athletic park which combines a playground and a rest facilities. The arguments on construction of playground commenced for commemorating Kameyama, Busan director official, when he moved to Taiwan in 1910. First Proposers which construct to sport park were businessman in that time. However, construction of playground was progress as a commemoration business of accession of Taisho Tenno. Playground construction got into stride by the proposal of the Busan mayor Wakamatsu in 1917. When it looks into process of discussion about a site selection candidate, norms of playground site selection are the paly ground which appropriate with effective site area and distance between park and a section of a city, in other hand, those are accessibility and budget. As a result of several arguments and actual site investigation, it was decide to select a site which enters to elementary school, after the isolation hospital relocates. The cost of construction of the TaiSho park is prepared by donation of the Busan civil. The donation fund raising committee was constituted by local commerce and industry people, a company, government, municipal offices and area, and funds was raised systematically. As a result, total amount of construction cost was made from the donation of local civil. The TaiSho park is broadly into two sectors; exercise area and rest and pleasure space. Entrance was set up in three aspects of the park and the subcontract planted. The baseball field took the seat in the central part of the park, and also prepared two tennis courts. Japanese Sumo field was also prepared for the north side of the park. The significance of the TaiSho park in Korea Park history can be summarized in South Korea's first sports park and which was made from the donation of local civil. The remained subjects from this study are to clarify the disappearance process of TaiSho park and a reason why modern Busan people want to get playground.