• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.167-176
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• 2013

User-created text data are increasing rapidly caused by development of social media. In opinion mining, User's opinions are extracted by analyzing user's text. A primary goal of sentiment analysis as a branch of opinion mining is to extract user's opinions from a text that is required to build a list of emotion terms. In this paper, we built a list of emotion terms to analyse a sentiment of social media using Facebook as a representative social media. We collected data from Facebook and selected a emotion terms, and measured the dimensions of valence and activation through a survey. As a result, we built a list of 267 emotion terms including the dimension of valence and activation.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.221-244
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• 2015

The purpose of this paper is to investigate the current and overall situation of cataloging ecosystem focusing on the interrelationship between traditional library and social cataloging site cataloging. For this, an extensive research and analysis was conducted concerning comparative analysis on cataloging rules of the library and social cataloging. As a result, not only the similarity and difference but also interrelationship between library and social cataloging was analyzed in detail. In addition, the characteristics of the cataloging rules were analyzed by the stage of cataloging in the library and the social cataloging environment. This study provides implications for mutual understanding and cooperation between library and social cataloging. The result may have significant meaning in prospecting cataloging ecosystem and planning further study on facilitating interaction and leading knowledge organization development.

• Journal of KIISE
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• v.42 no.5
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• pp.664-670
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• 2015

With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users' social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users' social category for more accurate and meaningful recommendations. We show experiment results of its validation.

• Journal of Information Technology and Architecture
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• v.9 no.3
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• pp.333-344
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• 2012

This paper proposes a system which recommends movies using information from social network services containing personal interest and taste. Method for establishing data is as follows. The system gathers movies' information from web sites and user's information from social network services such as Facebook and twitter. The data from social network services is categorized into six steps of emotion level for more accurate processing following users' emotional states. Gathered data will be established into vector space model which is ideal for analyzing and deducing the information with the system which is suggested in this paper. The existing similarity measurement method for movie recommendation is presentation of vector information about emotion level and similarity measuring method on the coordinates using Cosine measure. The deducing method suggested in this paper is two-phase arithmetic operation as follows. First, using general cosine measurement, the system establishes movies list. Second, using similarity measurement, system decides recommendable movie list by vector operation from the coordinates. After Comparative Experimental Study on the previous recommendation systems and new one, it turned out the new system from this study is more helpful than existing systems.

• Journal of Korean Library and Information Science Society
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• v.44 no.4
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• pp.255-275
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• 2013

This study aims to examine the case of using the social network services in the korea library, and then search the type of social network services and the status of it's introduction. It is used to the study of the introduction and the invigoration of social network services on the compatible library. First, we extracted the list of four type's high level management libraries from 2010 to 2012. Second, we examined the website's homepage of the list of 32's university library, 41's public library, 40's school library, 9's special library. Third, the result of analysis identified the feature and difference of the using the social network services of these libraries. Fourth, on the base of the result, it suggested some items of introduction's issue and the directions of future research.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.381-400
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• 2009

This study intends to make a comprehensive inquiry into the meaning and limitations of Folksonomy, and to explore how to make full use of Folksonomy in library cataloging. To this end, this study examined as follows : (1) how the philosophical meaning of Folksonomy is different from traditional principles of library cataloging, (2) what the viewpoint of LIS scholars toward Folksonomy are, and how North American libraries have customized Folksonomy for their catalogs. In addition, (3) usefulness of Folksonomy in library catalogs is thoroughly discussed. Based on these, (4) the final discussion includes strategies for Korean LIS scholars and library practitioners to consider when applying Folksonomy to Korea library contexts.

• Journal of Internet Computing and Services
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• v.11 no.6
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• pp.41-50
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• 2010

As time goes by, most of information escapes human being's memory even though he/she tries hard to remember the information. On the other hand, when a human being takes a look at an image, he/she recollects once forgotten past memories and relates a specific object in the photo with associated words, which trigger new memories. Beside, he/she feels the affection of that time by the recalled memory. Therefore, this paper proposes an augmented memory system that assists recollection of user's past memories by using the images in social network services and user's dictionary for associated words. In the proposed system, if a user selects an object in an image, words associated with the object is provided to the user. If the user selects one of the associated words, the proposed system offers the list of other images containing the object of the selected word. The repetition of the aforementioned process can make the user recollect his/her memory and stimulate his/her affection. It is expected that the proposed system will be useful for revitalizing social network services.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.903-905
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• 2012

Recent research on Augmented Reality is Actively expand and Augmented reality feature added to the social network system (Social Network System) has become a necessity. In this paper, GPS-based Augmented Reality System for Social Network is introduced, is proposed. This system can add recent check-in friends in facebook by automatically to synchronizing the location coordinate, and it could also adding location coordinates system is represented in a real-world environment by AR, is Marker-based AR system that was Commonly used AR system is a huge cost by handheld devices in processing and storage space, the disadvantages of the marker-based AR systems can be solved by using Location-based AR applications. Therefore, the proposed GPS-based Augmented Reality System for Social Network, automatically searches for the optimal speed for Wifi and 4G network to iOS Hand AR system was desired in future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.3
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• pp.762-767
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• 2013

Recently, researches on augmented reality(AR) are actively being conducted, and on addition of AR in social network system has become a necessity. In this paper, we propose GPS-based AR system for social network. This proposed system adds the recent check-in coordinates by automatically synchronizing a friend list in facebook and represents those added location coordinates in a real-world environment by using AR. Marker-based AR system that was commonly used by existing users consumes too much storage space and processing frequency for driving handle devices. But, location-based AR application can solves the disvantages of the standard marker=based AR system. Therefore, this proposed system allows an user with iOS hand devices to use GPS-based AR system by automatically searching the optimal speed for wifi and 4G. This will improve social network service.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.826-833
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• 2009

Currently, the rise of social tagging has changing taxonomy to folksonomy. Tag represents a new approach to organizing information. Nonhierarchical classification allows data to be freely gathered, allows easy access, and has the ability to move directly to other content topics. Tag is expected to play a key role in clustering various types of contents, it is expand to network in the common interests among users. First, this paper determine the relationships among user, tags and resources in social tagging system and examine the circumstances of what aspects to users when creating a tag related to features of websites. Therefore, this study uses tags from the social bookmarking service 'del.icio.us' to analyze the features of tag words when adding a new web page to a list. To do this, websites features classified into 7 items, it is known as tag classification related to resources. Experiments were conducted to test the proposed classify method in the area of music, photography and games. This paper attempts to investigate the perspective in which users apply a tag to a webpage and establish the capacity of expanding a social service that offers the opportunity to create a new business model.