• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.257-276
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• 2007

The purpose of this study is to design the metadata for sharing and efficiently using the informations of Earth Observations in Korea. Recently the GEO(Group on Earth Observations) has been starting to manage all nation's informations in a way that benefits the environment as well as humanity by taking a pulse of the plants. For that reason, we have to construct the infra-system to manage and integrate the 12 social benefit areas in Korea; disaster, health, energy, climate, water, biodiversity, agriculture, forest, ocean, space information and geographical information system(GIS). But these informations have only been managed with varied metadatas in each area of observation, and then it is difficult to integrate varied informations. In this study, we solve the problem with meta-metadata.

• The Journal of the Convergence on Culture Technology
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• v.4 no.2
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• pp.191-196
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• 2018

Recently, consumers' taste has been diversified, consumption pattern has changed, and product package design has been gradually developed. The product packaging design should be made to be able to know the contents accurately, and it should have the charm that attracts consumers' attention and makes them want to buy the goods. In addition, product design should motivate consumers to buy according to brand naming, package layout, content expression method, taste color, as well as graphic elements that induce visual effects.The graphic elements that express the image of the contents in a package design of the product at a glance are the most essential elements to enhance the value added of the product and to induce the purchase motivation and rationalization of the consumer. This study is a study on visual image symbol image using visual information metadata in livestock products. It examines cases of various livestock packages and presents graphical elements that can visualize livestock images at a glance as metadata elements. We will pursue the premiumization of livestock products, raise brand value, and offer differentiating design strategies for economic benefits as well as potential for revitalizing the livestock market.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.133-141
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• 2008

Social Web is turning current Web into social platform for knowing people and sharing information. This paper takes major social tagging systems as examples, namely delicious, flickr and youtube, to analyze the social phenomena in the Social Web in order to identify the way of mediating and linking social data. A simple Tag Ontology (TO) is proposed to integrate different social tagging data and mediate and link with other related social metadata. Through several machine learning for tagging data, tag groups and similar user groups are extracted, and then used to learn the tagging ontology. A recommender system adopting the tag ontology is also suggested as an applying field.

• Asia Marketing Journal
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• v.22 no.3
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• pp.71-85
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• 2020

Social media has emerged as a major hub of engagement between brands and consumers in recent years, and allows user-generated content to serve as a powerful means of encouraging communication between the sides. However, it is challenging to negotiate user-generated content owing to its lack of structure and the enormous amount generated. This study focuses on the hashtag, a metadata tag that reflects customers' brand perception through social media platforms. Online users share their knowledge and impressions using a wide variety of hashtags. We examine hashtags that co-occur with particular branded hashtags on the social media platform, Instagram, to derive insights about brand perception. We apply text mining technology and network analysis to identify the perceptions of brand images among consumers on the site, where this helps distinguish among the diverse personalities of the brands. This study contributes to highlighting the value of hashtags in constructing brand personality in the context of online marketing.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.183-209
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• 2023

The purpose of this study is to evaluate the Dublin Core metadata generated by ChatGPT using book covers, title pages, and colophons from a collection of books. To achieve this, we collected book covers, title pages, and colophons from 90 books and inputted them into ChatGPT to generate Dublin Core metadata. The performance was evaluated in terms of completeness and accuracy. The overall results showed a satisfactory level of completeness at 0.87 and accuracy at 0.71. Among the individual elements, Title, Creator, Publisher, Date, Identifier, Rights, and Language exhibited higher performance. Subject and Description elements showed relatively lower performance in terms of completeness and accuracy, but it confirmed the generation capability known as the inherent strength of ChatGPT. On the other hand, books in the sections of social sciences and technology of DDC showed slightly lower accuracy in the Contributor element. This was attributed to ChatGPT's attribution extraction errors, omissions in the original bibliographic description contents for metadata, and the language composition of the training data used by ChatGPT.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.173-178
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• 2022

Recently, a recommendation system using deep learning in social network services has been actively studied. However, in the case of a recommendation system using deep learning, the cold start problem and the increased learning time due to the complex computation exist as the disadvantage. In this paper, the user-tailored exercise routine recommendation algorithm is proposed using the user's metadata. Metadata (the user's height, weight, sex, etc.) set as the input of the model is applied to the designed model in the proposed algorithms. The exercise recommendation system model proposed in this paper is designed based on the neural collaborative filtering (NCF) algorithm using multi-layer perceptron and matrix factorization algorithm. The learning proceeds with proposed model by receiving user metadata and exercise information. The model where learning is completed provides recommendation score to the user when a specific exercise is set as the input of the model. As a result of the experiment, the proposed exercise recommendation system model showed 10% improvement in recommended performance and 50% reduction in learning time compared to the existing NCF model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.253-258
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• 2014

In smartphone sensing which monitors various social phenomena of the individuals by using embedded sensors, managing metadata is one of the important issue to process large-scale data, improve the data quality, and share collected data. In this paper, we proposed a document clustering scheme for the large-scale metadata management architecture which is designed as a hybrid back-end consisting of a cluster head and member nodes to reduce the server-side overhead. we also verified that the proposed scheme is more efficient than the distance based clustering scheme in terms of the server-side overhead through simulation results.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.3
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• pp.49-70
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• 2019

Festival records are valuable social records, not only historically but also culturally. Even though festival records are worthy of preservation, many of them are not managed appropriately. In particular, photographs taken by the public are dispersed in various SNS services such as Facebook, Instagram, and Twitter. This study collected festival photographs, taken by the public, from these SNS services and built a participatory archive for Daegu. As such, this study identified and suggested a metadata set through the process of archiving festival photographs. In addition, this study proposed a model of the participatory archive for festival photographs. This model illustrated the institute's collection of festival photographs in the SNS services and the creation of the participatory archive.

• Journal of Korean Society of Archives and Records Management
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• v.16 no.2
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• pp.113-142
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• 2016

With the increase in private and community archives to record various different shapes and forms of societies, the establishment of archives for social minorities has heightened. In line with these changes, this study analyzed the Korean queer archives "Queerarch," which focus on records and archives on sexual minorities. This study examined the current status of the archives of Queerarch, and grasped the characteristics of the queer archives and the problems of archival description elements. The current archival description elements used in Queerarch do not fully reflect the characteristics of the queer archives and the multilayer description method. To solve these problems, this study proposed a metadata schema that includes archival description elements that are based on archival description standards such as the General International Standard Archival Description (ISAD (G)), Manual of Archival Description (MAD), Rules for Archival Description (RAD), and others.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.98-105
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• 2013

Patterns for generating and consuming contents are various in these days from conventional broadcasting contents to UCC. There are many researches on developing recommendation engines based on user's profile for providing desired contents. In this paper we propose a contents recommendation system using not only user's profile but other's profiles in closed user group of the social network based on patterns for user's consuming contents. The proposed recommendation agent update user's profile using usage history and other's profiles related to the user in the closed user group.