• Journal of the Korea Society of Computer and Information
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• v.13 no.2
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• pp.1-9
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• 2008

As the size of software becomes larger and the features of it become complex. it is really hard to successfully complete the project without following development guidelines. Software process is the best practices and procedures that organizations of high maturity and capability of software development carry out in common, and it is a set of progressive ideas of management. However, complicated and unfamiliar concepts can interrupt the introduction and improvement of software process of the organizations. Even though many kinds of frameworks such as standard of process and maturity measurement models are introduced, it is still difficult to follow software process without fully understanding their relations. The purpose of this study is to support successful internalization of organizations that introduce and use software process. It also suggests the design of standard ontology, standard relationship domain ontology, and the lifestyle of software process and the relations between them.

• The KIPS Transactions:PartD
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• v.18D no.3
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• pp.149-156
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• 2011

Recently, enterprise systems require the necessity of integration for data sharing and cooperation. As a methodology for integration, Service-Oriented Architecture for service integration and Master Data for integration of data, which is used for service, were appeared. This paper suggests a method that operates BP(Business Process) efficiently. We make XMDR(eXtended Meta Data Registry) as knowledge-repository to support the BP and construct data hubs to operate it. XMDR manages MDM(Master Data Management) to integrate the data, resolves heterogeneity between the data and provides relationship to the business efficiently. This is composed of MDR(Meta Data Registry), ontology and BR(Business Relations). MDR describes relationship between meta data to solve structured heterogeneity. Ontology describes semantic heterogeneity and relationship between data. BR describes relationship between tasks. XMDR data hub supports the management of master data and interaction of different process effectively.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.94-123
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• 2019

Over the past few decades, gender equality has been considered one of the fundamental principles and a significant crosscutting issue in international development. However, beyond applying 'gender equality' as a policy buzzword, there has been a lack of critical reviews on how generally 'gender equality in education' is understood and constructed in Korea's development programs and projects. In this regard, this paper explores the use of vocabularies and semantic meanings of gender equality in the Korean Government's Academic Cooperation Program and its 52 projects. By applying mixed contents analysis as a method, the research resulted in several findings: first, the policy papers recently highlighted Korea's directions on gender mainstreaming and gender-sensitive approaches in international development. Second, 'integrating women and girls' into education institutions was emphasized in various projects; third, the term women rather than gender were used in the texts, highlighting their position as a 'marginalized group.' Lastly, there was a lack of evidence of projects dealing with changing gender-based power relations. The constructed gendered relations and powers were identified throughout projects, usually acting as barriers to project activities. However, they were only identified, not challenged, by the program. In conclusion, whilst Korean international development and educational development discourse actively embrace Women in Development (WID) and Gender and Development (GAD) in their programs, it is time to consider the issue of gender equality from different standpoints, such as identity, rights, and capabilities and a more active engagement with Korea's domestic issues in gender discourse and practices is also needed.

• Journal of the Ergonomics Society of Korea
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• v.25 no.2
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• pp.135-146
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• 2006

Multimodal interfaces are recognition-based technologies that interpret and encode hand gestures, eye-gaze, movement pattern, speech, physical location and other natural human behaviors. Modality is the type of communication channel used for interaction. It also covers the way an idea is expressed or perceived, or the manner in which an action is performed. Multimodal Interfaces are the technologies that constitute multimodal interaction processes which occur consciously or unconsciously while communicating between human and computer. So input/output forms of multimodal interfaces assume different aspects from existing ones. Moreover, different people show different cognitive styles and individual preferences play a role in the selection of one input mode over another. Therefore to develop an effective design of multimodal user interfaces, input/output structure need to be formulated through the research of human cognition. This paper analyzes the characteristics of each human modality and suggests combination types of modalities, dual-coding for formulating multimodal interaction. Then it designs multimodal language and input synchronization method according to the granularity of input synchronization. To effectively guide the development of next-generation multimodal interfaces, substantially cognitive modeling will be needed to understand the temporal and semantic relations between different modalities, their joint functionality, and their overall potential for supporting computation in different forms. This paper is expected that it can show multimodal interface designers how to organize and integrate human input modalities while interacting with multimodal interfaces.

• Journal of Internet Computing and Services
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• v.11 no.3
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• pp.15-24
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• 2010

In this paper, we propose an image classification which combines semantic relations of tags with contents of images to improve the satisfaction of image retrieval on application domains as huge image sharing sites. To make good use of image retrieval or classification algorithms on huge image sharing sites as Flickr, they are applicable to real tagged Web images. To classify the Web images by 'bag of visual word' based image content, our algorithm includes training the category model by utilizing the preliminary retrieved images with semantically related tags as training data and classifying the test images based on PLSA. In the experimental results on the Flickr Web images, the proposed method produced the better precision and recall rates than those from the existing method using tag information.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.02a
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• pp.320-329
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• 2002

The issues in polysemy with respect to the verbs in WordNet will be discussed in this paper. The hypernymy/hyponymy structure of the multiple senses is observed when we try to build a bilingual network for Chinese and English. There are several types of polysemic patterns and a co-hypernym may have the same word form as its subordinates. Fellbaum (2000) dubbed autotroponymy that the verbs linked by mailer relation share the same verb form. However, her syntactic criteria seem not compatible to the hierarchies in WN. Either the criteria or the network should be reconducted. For most verbs in WN 1.7, polysemous relations are unlikely to extend over 3 levels of IS-A relation. Highly polysemous verbs are more complicated and may be involved in certain semantic structures. Semi-automatic sense grouping may be helpful for multimlinguital information retrieveal.

• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.1049-1062
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• 2006

The purpose of this study is to find out the image according to formative properties of hat and garment in the fashion collection. For the study, the 96 stimuli found frequently in fashion collection from the S/S season of 1998 to the F/W season of 2004 were selected. Sets of stimulus and response scales (7 point semantic) were used as experimental materials. The stimuli were 96 pictures with the types of hat(4), the lengths of hair(3), the types of garment(3), the relations between the color of garment and hat(4), and the materials(4) and patterns of garment(2). The subjects were 415 women college students majoring fashion design related fields and living in Seoul and Gyeongsangnam-do. As statistical methods for data analysis, Factor Analysis, ANOVA test, and LSD test were used. The items of the adjectives were classified into 5 image dimensions; attractiveness, gracefulness, concentration, cuteness, and hardness and softness. Among these factors, each dimensional image was affected by formative properties of hat and garment. The image of a hat-wearer was perceived differently according to the hair style and the formative properties of hat and garment even if the type of hat was same.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.249-267
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• 2004

Although MARC can define the detail cataloguing data, it has complex structures and frameworks to represent bibliographic information. On account of these idiosyncratic features of MARC, XML DTD or RDF/S that supports simple hierarchy of conceptual vocabularies cannot capture MARC formalism effectively. This study implements bibliographic ontology by means of abstracting conceptual relationships between bibliographic vocabularies of MARC. The bibliographic ontology is formalized with OWL that can represent the logical relations between conceptual elements and specify cardinality and property value restrictions. The bibliographic ontology in this study will provide metadata for cataloguing data and resolve compatibility problems between cataloguing systems. And it can also contribute the development of next generation bibliographic information system using semantic Web services.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.129-141
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• 2001

Kansei engineering or image technology is a tool to analyze relation between product design components and the impression or feeling of human for physical products. This paper attempts to construct the designer\`s aid tool for developing corporate identity(CI) symbol mark based on the hybrid Kansei engineering. It combines the forward Kansei engineering for translating consumer\`s feeling into design components of CI symbol mark and the backward Kansei engineering for evaluating consumer\`s feeling for CI symbol mark. The semantic differential(SD) evaluation experiment is carried out to find the relations between image and design. The backward Kansei engineering system is modelled by fuzzy neural network. This research is expected to contribute to the development of CI symbol mark that correspond to comsumer\`s image.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.43-48
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• 2010

Useful emails influence on consumers' purchase behavior and activate them to visit retail stores. Regular contact with consumers by e-mail has positive effects on brand loyalty. However, email marketing has a limitation. Spam now accounts for over half of all e-mail traffic. The increase of email users has resulted in the dramatic increase of spam emails during the past few years. In this paper, we proposed an ontology-based system offering personalized email services to overcome such limitation. Our method is not the ontology-driven spam filtering, but a personalized content service considering personal interests and relations among people by using FOAF and domain ontologies. Our system was successfully tested in email marketing domain.