• Journal of the Korea Computer Industry Society
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• v.2 no.11
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• pp.1421-1426
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• 2001

Nowadays, as the quantity of multimedia information increases rapidly, an efficient management for multimedia has become more important. In this paper, to index and search multimedia contents efficiently, we designed the algorithm searching specific image and saving the extracted image using the semantic information extraction scheme based on contents and it is one of the schemes to indexing and searching of video data. After extracting the RGB information from input image, while all frames of video is inspected sequentially, the specific image is saved through referring to the position and distribution of contents from the collection scheme of RGB range. In case of using the proposed image extraction algorithm, because only saved video is searched instead of the whole the searching time can be reduced.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.390-394
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• 2009

The semantic web-based social network is highly useful in a variety of areas. In this paper we make diverse analyses of the FOAF-based social network, and propose an expert recommendation system. This system presents useful method of ontology-based social network using SparQL, RDFS inference, and visualization tools. Then we apply it to real social network in order to make various analyses of centrality, small world, scale free, etc. Moreover, our system suggests method for analysis of an expert on specific field. We expect such method to be utilized in multifarious areas - marketing, group administration, knowledge management system, and so on.

• Journal of KIBIM
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• v.5 no.3
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• pp.41-50
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• 2015

Increasing size and complexity of indoor structures have led to much more complication in the spatial cognition and situational awareness. Contrary to outdoor environments, occupants have limited information regarding the indoor space syntax in terms of architectural and semantic information as well as how they interact with their surroundings. The availability of such information could give conveniences to both users and managers in various aspects. In order to visualize the exact location of rooms and utilities in 3D, many studies and projects have utilized BIM models because of its promising value of representing building components. In fact, the application of BIM provides definitive spatial indoor data and creates services for indoor space management and navigation. Therefore, this paper aims to provide an overview of practices on BIM-based indoor spatial information implementation and location-based services. It is expected that enabling of technologies, data-rich content and accessibility of information products will accelerate the growth of the spatially-related markets in various fields.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.2 no.4
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• pp.9-15
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• 1999

The purpose of this study was to investigate factors and variables which have significant effects on visual preference of urban stream in Taejon city and to suggest design & management information for urban stream. These works consist of two phases. First, we tested the Hyechon college students' visual preference for 36 spots of urban stream slide and then selected 10 spots slide by the Sturges' formula. Second, we analyzed factors and variables of visual preference of urban stream using the semantic differential scale method and then processed using descriptive analysis, factor analysis and multiple linear regression analysis. The major findings of this study can be summarized as follows. 1. The difference of landscape adjectives between the highest score of visual preference slide (No.10) and the lowest score of visual preference slide (No.2) was cleanness. 2. Three factors, the nature, the cleanness and the movement, were derived from the factor analysis. 3. Factors covering the visual preference of urban stream have been found to be the landscape of urban stream, the nature, the cleanness, and the movement. The visual preference factors of urban stream need to be considered in creating or restoring the ecological urban stream landscape.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.43-59
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• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korean new year addresses, one of most important and authoritative document publicly announced by North Korean government. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. We propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and co-occurrence networks. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of Kim Jung Un of the North Korea from 2017 to 2019. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. We found that uncovered semantic structures of North Korean new year addresses closely follow major changes in North Korean government's positions toward their own people as well as outside audience such as USA and South Korea.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.137-146
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• 2009

This paper aims to propose a framework of content creating group with creativity under new convergence environments. The framework is built based on content concept hierarchy(deep/surface) relating with the creativity of group members. The diversity of group members(potential creativity) decrease and change into creative abilities in one unified view at each content concept hierarchy in time. To do this, three methods of building a creative group(interaction-base, direction-base, hybrid) are proposed. Cooperating processes and operators are designed to promote creative abilities in the content producing group. These cooperations are considering new media convergence industry's job road map(IPTV) and fundamental content attributes(semantic, narrative, discourse). In the framework, creative content is produced with the help of member's cultural openness, media richness and synchronicity, hierachical adaptability on dissimilarity. Deep level creativity of cognitive semiotics on moving image content is composed of psychological, transformational, situational creating abilities in the structure of group members. Designing analogy, metaphor, symbol operators help members to traverse deep structure of content concept hierarchy. Our framework has strong points to relate fundamental content deep structure with structure of content producing group and to induce creativity on cognitive structure of human being.

• Asia pacific journal of information systems
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• v.8 no.1
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• pp.43-64
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• 1998

Cooperative query answering is a research effort to develop a fault-tolerant and intelligent database system using the semantic knowledge base constructed from the underlying database. Such knowledge base has two aspects of usage. One is supporting the cooperative query answering process for providing both an exact answer and neighborhood information relevant to a query. The other is supporting ongoing maintenance of the knowledge base for accommodating the changes in the knowledge content and database usage purpose. Existing studies have mostly focused on the cooperative query answering process but paid little attention to the dynamic knowledge base maintenance. This paper proposes a multi-level knowledge representation framework called Knowledge Abstraction Hierarchy(KAH) that can not only support cooperative query answering but also permit dynamic knowledge maintenance, On the basis of the KAH, a knowledge abstraction database is constructed on the relational data model and accommodates diverse knowledge maintenance needs and flexibly facilitates cooperative query answering. In terms of the knowledge maintenance, database operations are discussed for the cases where either the internal contents for a given KAH change or the structures of the KAH itself change. In terms of cooperative query answering, four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.235-247
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• 2011

The Mind is a still vastly vague and unknown notion. But the more we view this phenomenon with multi-faceted viewpoints and depth, the more we discourse of the Mind with profundity and develop the concept of the Mind with more objectivity which will become that much more perfect. This article proposes to capture the Theory of the Mind, to some extent, in various academic fields and in parallel studies to organize the whole perspectives of the Mind in form of a digital knowledge Mind Map and present a thinkable model of the topology of the Mind.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.165-172
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• 2013

Website creations and their renewal process are very difficult due to ever-changing mobile environments such as various operating systems and mobile devices. In this regard, HTML5 serves as the solution and guideline to developing well-functioning websites. Mobile websites using HTML5 can provide consistent contents and services even though users access them through various OS or device types. This paper examines a possibility of the HTML5-based website for a local private college located in Busan. For this, location-based map service and semantic auto dialing webform service have been implemented. After making the website available, students and staff members were satisfied with the improvement in the speed of loading time and error free contents service. In the future, the rest of HTML5 functionalities are planned to be implemented sequentially.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.6
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• pp.577-586
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• 2013

In a shipyard, it is hard to predict block movement due to the uncertainty caused during the long period of shipbuilding operations. For this reason, block movement is rarely scheduled, while main operations such as assembly, outfitting and painting are scheduled properly. Nonetheless, the high operating costs of block movement compel task managers to attempt its management. To resolve this dilemma, this paper proposes a new block movement analysis framework consisting of the following operations: understanding the entire process, log clustering to obtain manageable processes, discovering the process model and detecting exceptional processes. The proposed framework applies fuzzy mining and trace clustering among the process mining technologies to find main process and define process models easily. We also propose additional methodologies including adjustment of the semantic expression level for process instances to obtain an interpretable process model, definition of each cluster's process model, detection of exceptional processes, and others. The effectiveness of the proposed framework was verified in a case study using real-world event logs generated from the Block Process Monitoring System (BPMS).