• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.1
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• pp.29-39
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• 2015

This study has attempted to determine the micro-discourse from blogs as personal media that reflect citizens' actual opinions of the Seoul Forest without intervention of experts. Furthermore, a qualitative research method discourse analysis was selected to analyze the micro-discourse regarding the Seoul Forest in a time series. The extracted samples of blogs by year were intended to identify the comment section of the process of change and the discursive structure. The results are as follows; first, from the beginning of the development of the Seoul Forest to the present, it is divided into four chronological periods along with individuals' micro-discourse with social changes. During the beginning of the development of the Seoul Forest, the social discourse was formed, and in the next period, the micro-discourse was developed with a more emotional and complex discourse. In the formative period, four or five years later, the discourse reflected the civic consciousness of development more than ever, showing the diversity of participation in the program at the Seoul Forest. In the growth period, as the users' experiences had been accumulated, the users started writing about the role of the Seoul Forest in their own words. This can also be called place discourse. From the individuals' micro-discourse, this study shows the discourse structure of how individuals think about the Seoul Forest in each period. Unlike the experts, the micro-discourse contains specific daily interactions, experiences, and the stories of individuals who actually use the parks. It also shows how users reproduce and understand the space. In this respect, this is the most significant finding of this study. Based on this research, this study has demonstrated that the emotional description of a place that actually functions as a discourse about city parks, and confirms that blogs could be used as a space to form discourse and as a research tool to read the trends. In accordance with these results, this study has described not only the discourse of experts, but also how the discourse of individuals' comments can be an important part of the discourse of modern urban parks.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.49-58
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• 2019

There have been studies on the satisfaction, preference, and post occupancy evaluation of urban parks in order to reflect users' preferences and activities, suggesting directions for future park planning and management. Despite using questionnaires that are proven to be affective to get users' opinions directly, there haven been limitations in understanding the latest changes in park use through questionnaires. This study seeks to address the possibility of utilizing the thirdgeneration SNS data, Instagram and Google, to compare behavior patterns and trends in park activities. Instagram keywords and photos representing user's feelings with a specific park name were collected. We also examined reviews, peak time, and popular time zones regarding selected parks through Google. This study tries to analyze users' behaviors, emerging activities, and satisfaction using SNS data. The findings are as follows. People using park near residential areas tend to enjoy programs being operated in indoor facilities and to like to use picnic places. In an adjacent park of commercial areas, eating in the park and extended areas beyond the park boundaries is found to be one of the popular park activities. Programs using open spaces and indoor facilities were active as well. Han River Park as a detached park type offers a popular venue for excercises and scenery appreciation. We also identified companionship characteristics of different park types from texts and photos, and extracted keywords of feelings and reviews about parks posted in $3^{rd}$ generation SNS. SNS data can provide basis to grasp behavioral patterns and satisfaction factors, and changes of park activities in real time. SNS data also can be used to set future directions in park planning and management in accordance with new technologies and policies.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.857-874
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• 1998

The objective of this study is to collect the opinions on the present condition and the improvement directions of urban health centers from and to make a comparison. Samples were drawn from the various sources of a district in seoul. 53 persons involved in district health's administration(the Members of a District Parliament, the senior officials of a District office, village chief) and 84 health center workers were surveyed with anonymous postal questionaires and 427 district private medical personnels with postal questionaires and 625 users of a health center with direct questionaires, from November 18 to 25, 1996. Additionally, 12,151 households were surveyed with self-reported questionaires including priorities on special district health services of health center, from September 1 to 7, 1996. The major findings were as follows : 1) Although the persons involved in district health administration tend to put lower priority on health service over other community activities, they well acknowledged the importance of health center. But health center workers strongly acknowledged the importance of both health service and heath center. 2) As to the level of human resoureces, equipments and ammenities of Health Center commpared with private medical institute, the persons involved in district health's administration and health center workers responded that health center was higher in following order : 54.9%, 41.6%, 36.5% and 88.0%, 80.7%, 44.1%. 3) Concerning the priorities of health center's improvement, the persons involved in district health's administration replied in the order of reinforcement of proffesional health workers (43.3%), improvement of equipments and ammenities(28.3%), and the health center workers replied in the order of reconstruction of organization(24.1%), public health education and promotion(22.8%), reinforcement of proffesional health workers(21.0%). 4) Both the persons involved in district health's administration and health center workers replied that Ministry Health and Welfare, District office, health center were essential as the most critical organizations in the activation of Health Center's Function. 5) Persons involved in district health's administration and health center workers chose, as the most important health center's Function, medical treatment and prevention of infectious disease, and prevention of acute and chrone disease control and special district health service, respectively. Both Groups replied that fammily planning and parasite control are no longer in need. 6) As the future health service requiring reinforcement, every human resources parties considered health conselling, health line, sex education as the most imortant elements in public health education. Concerning the reinforement of other health services such as medical checkup and visiting nurses, every human resources parties showed more than 80% approval rate, but for oriental medical care service, the private medical personels showed relatively low approval rate(52.9%). Therefore the planning for reinforcement of health center's function requires the reflection of human resources party's opinion and the implication of system which can control and combine the differences in party's opinions.

• 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.19 no.4
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• pp.39-53
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• 2013

The emergence of the internet technology and SNS has increased the information flow and has changed the way people to communicate from one-way to two-way communication. Users not only consume and share the information, they also can create and share it among their friends across the social network service. It also changes the Social Media behavior to become one of the most important communication tools which also includes Social TV. Social TV is a form which people can watch a TV program and at the same share any information or its content with friends through Social media. Social News is getting popular and also known as a Participatory Social Media. It creates influences on user interest through Internet to represent society issues and creates news credibility based on user's reputation. However, the conventional platforms in news services only focus on the news recommendation domain. Recent development in SNS has changed this landscape to allow user to share and disseminate the news. Conventional platform does not provide any special way for news to be share. Currently, Social News Service only allows user to access the entire news. Nonetheless, they cannot access partial of the contents which related to users interest. For example user only have interested to a partial of the news and share the content, it is still hard for them to do so. In worst cases users might understand the news in different context. To solve this, Social News Service must provide a method to provide additional information. For example, Yovisto known as an academic video searching service provided time dependent metadata from the video. User can search and watch partial of video content according to time dependent metadata. They also can share content with a friend in social media. Yovisto applies a method to divide or synchronize a video based whenever the slides presentation is changed to another page. However, we are not able to employs this method on news video since the news video is not incorporating with any power point slides presentation. Segmentation method is required to separate the news video and to creating time dependent metadata. In this work, In this paper, a time dependent metadata-based framework is proposed to segment news contents and to provide time dependent metadata so that user can use context information to communicate with their friends. The transcript of the news is divided by using the proposed story segmentation method. We provide a tag to represent the entire content of the news. And provide the sub tag to indicate the segmented news which includes the starting time of the news. The time dependent metadata helps user to track the news information. It also allows them to leave a comment on each segment of the news. User also may share the news based on time metadata as segmented news or as a whole. Therefore, it helps the user to understand the shared news. To demonstrate the performance, we evaluate the story segmentation accuracy and also the tag generation. For this purpose, we measured accuracy of the story segmentation through semantic similarity and compared to the benchmark algorithm. Experimental results show that the proposed method outperforms benchmark algorithms in terms of the accuracy of story segmentation. It is important to note that sub tag accuracy is the most important as a part of the proposed framework to share the specific news context with others. To extract a more accurate sub tags, we have created stop word list that is not related to the content of the news such as name of the anchor or reporter. And we applied to framework. We have analyzed the accuracy of tags and sub tags which represent the context of news. From the analysis, it seems that proposed framework is helpful to users for sharing their opinions with context information in Social media and Social news.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.6
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• pp.19-27
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• 2010

The purpose of this study is to evaluate urban parks and green spaces within the public service framework by identifying priority elements. This study surveyed 455 residents from 80 dongs(neighborhoods), of 5 Gu(districts) districts in Daejeon. The results were as follows. Regarding the evaluation of urban parks as a public service, the average survey score, of all 46 questions, was distributed from 2.46 to 3.54(Likert 5 point scale). Interesting findings can be observed in that most of the survey participants gave high scores to Daejon's natural green environments and geographical traits. That is, Daejon residents perceived their urban nature spaces as a natural geographical environment rather than a public service provided by their local government. Therefore, it seems necessary for the local government, by and large, to improve urban parks and urban green space programs. The low scoring items were 'citizen's participation'(mean 2.46), 'acceptance of complaints, comments, and improvement proposals'(mean 2.54), 'citizen's respect', 'inclusive design' (for the physically challenged-mean 2.55), 'diverse programs and activities in the urban park'(mean 2.55) and 'implementation of revision proposals by citizens'(mean 2.61). These results indicate that citizen participation in planning and opinion sharing is needed to build public services that are satisfactory to users. To evaluate the park and green space from the viewpoint of public services is a useful method with a new point of view. In accordance with this study, the factor of 'supply decision maker' is a statistically meaningful variable of resident satisfaction while earlier studies on the satisfaction studies of physical environment, hardly discovered variables on 'supply decision maker', 'acceptance of resident opinions', and 'information usage'. Responding to or taking positive action according to significant factors, such as the findings of this study, can expand the role of public officials to exert a more positive influence on urban parks and green spaces.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.40-51
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• 2012

Online discussion bulletin in Korea is not only a specific place where user exchange opinions but also a public sphere through which users discuss and form public opinion. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we propose how to analyze the popularity of articles by collecting the information of articles obtained from two well-known discussion forums such as AGORA and SEOPRISE. And we propose a prediction model for the article popularity by applying the characteristics of subject articles. Our experiment shown that the popularity of 87.52% articles have been saturated within a day after the submission in AGORA, but the popularity of 39% articles is growing after 4 days passed in SEOPRISE. And we observed that there is a low correlation between the period of popularity and the hit count. The steady increase of the hit count of an article does not necessarily imply the final hit count of the article at the saturation point is so high. In this paper, we newly propose a new prediction model called 'baseline'. We evaluated the predictability for popular articles using three models (SVM, similar matching and baseline). Through the results of performance evaluation, we observed that SVM model is the best in F-measure and precision, but baseline is the best in running time.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.4
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• pp.316-322
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• 2012

In the port of Ulsan with the area of harbor limit of $83km^2$, 25,432 vessels have been entering annually and only 35 vessels can anchor simultaneously at the anchorage. The area of harbor limit of Ulsan constitutes just 65 percent compared to $127.5km^2$ which is an average of main ports in Korea. In this regard, the port of Ulsan needs to expand the area of anchorages inevitably for enhancing the efficiency of port operation. To select the best anchorage area in Mipo harbor with the introduction of a concept of emergency anchorage, this study analyzed the safety of navigation and anchorage, and safety management, etc. in the prospected anchorage on the basis of the marine traffic survey observing traffic density. Furthermore, after drawing preliminary and final schemes through gathering the opinions from maritime users, safety management organizations and academic experts group, the best arrangement of emergency anchorage has been selected through the conference of interested parties. Then, the final scheme was also verified through figuring out the marine traffic system and carrying out the ship handling simulation.

• Journal of Distribution Science
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• v.12 no.11
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• pp.101-111
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• 2014

Purpose - This study aims to verify the construct of the service quality suitable to the characteristics of the business center, to develop the scale that can measure the service quality objectively, compare the diverse business centers in Korea, and present desirable methods of business center management and operation. Research design, data, and methodology - In the first stage, literature research and focus group interviews with current users and actual business experts of business centers were conducted. In addition, 69 early stage scale items were derived. In the second stage, a Delphi survey was conducted on the experts of business and academic circles. The measurement items in the early stage were supplemented and revised. The content validity rate (CVR) of 69 measures was computed and then the experts' opinions were used. As a result, the business center service quality scale, made up of 9 organizing factors and 36 measurement items, was constructed. In the third stage, a survey was conducted on the occupants who were currently using the business center. It was to confirm if the developed business center service quality scale could be actually utilized. The data of 435 samples collected were used. To refine the scale items, the exploratory factor analysis (EFA) was conducted repeatedly. Results - The business center service quality scale, made up of 8 factors and 33 items, was developed again. The 8 factors are reliability, speed, kindness, specialty, responsibility, appearance, convenience, and public interest. The reliability coefficient (Cronbach's Alpha) of each factor is greater than .7. Thus, it was confirmed that there was reliability in the measurement items. Further, the model suitability was verified using the confirmatory factor analysis (CFA), and the convergent validity and the discriminant validity were verified. This proved the construct validity. Through this process, the Korea Business Center Service Quality Scale was developed. Based on factor analysis, the developed business center service quality (BCSQ) scale consists of 4 aspects, 8 factors, and 33 items, comprising the "process quality" aspect: reliability (3 items), speediness (4 items), kindness (3 items) factors, the outcome quality aspect: expertise (3 items), responsibility (5 items) factors, the environment quality aspect: appearance (5 items), convenience (3 items) factors, and the public interest aspect: public interest (7 items) factor. However, according to CFA, the BCSQ scale consists of a total of 4 aspects, 8 factors, and 33 items, comprising the "process quality" aspect: reliability (3 items), speediness (3 items), kindness (3 items) factors, the outcome quality aspect: expertise (2 items), responsibility (4 items) factors, the environment quality aspect: appearance (3 items), convenience (2 items) factors, and the public interest aspect: public interest (3 items) factor. Conclusions - The BCSQ scale could serve as a diagnostic tool that will allow business center managers to determine service areas that are weak and in need of attention, and to improve the service quality of the business center.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.155-176
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• 2015

This study was for suggesting the test methods in the revision process of the cataloging rules to understand the problem of draft cataloging rules and to apply the new cataloging rules correctly in libraries instead of collecting the opinions by the traditional seminar and conference in the process of revising KCR, KCR2, KCR3, KCR4. For this study, the literature review and the case study were used as the research methods. The case study was based on the US RDA Test by US RDA Test Coordinating Committee. The evaluation areas of the test were cataloging rules, record creation and system development by reflecting the new cataloging rules, user, and cost. The data for the analysis was the creation of bibliographic records and authority records by librarians, and the question investigations that were the use of institutions, librarians, and users. This study would contribute to revise the cataloging rules in future by analyzing the errors of applying new rules to bibliographic record and by investigating the difficulties of applying rules in completing the bibliographic record. Also, the libraries could be easy to decide to implement the new rules from the creation time of bibliographic record by new rules and the learning curve of new rules.