• Title/Summary/Keyword: Information visualization

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Development of Information Visualization Tool using Knowledge Representation (지식 표상 방법을 이용한 정보 검색 시각화 도구 개발)

  • Ji, Hye-Sung;Park, Ki-Nam;Lim, Heui-Seok
    • Journal of Digital Convergence
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    • v.10 no.9
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    • pp.383-390
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    • 2012
  • In this paper, we suggest an information retrieval visualization tool using the knowledge representation method. Information retrieval visualization tool suggested in this paper is designed to automatically extract retrieval intention using user's search history data and visualize extracted retrieval intention in the knowledge representation method structure. A psychological knowledge representation methodology was adopted for schema for retrieval intention representation and its effectiveness has been proved through the behavioral experiments. Result of experiment revealed that information retrieval visualization tool has been improved approximately 39% in user satisfaction compared to existing retrieval method, suggesting a measure to solve re-retrieval problem in the process of information retrieval.

Research on Cyber IPB Visualization Method based on BGP Archive Data for Cyber Situation Awareness

  • Youn, Jaepil;Oh, Haengrok;Kang, Jiwon;Shin, Dongkyoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.749-766
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    • 2021
  • Cyber powers around the world are conducting cyber information-gathering activities in cyberspace, a global domain within the Internet-based information environment. Accordingly, it is imperative to obtain the latest information through the cyber intelligence preparation of the battlefield (IPB) process to prepare for future cyber operations. Research utilizing the cyber battlefield visualization method for effective cyber IPB and situation awareness aims to minimize uncertainty in the cyber battlefield and enable command control and determination by commanders. This paper designed architecture by classifying cyberspace into a physical, logical network layer and cyber persona layer to visualize the cyber battlefield using BGP archive data, which is comprised of BGP connection information data of routers around the world. To implement the architecture, BGP archive data was analyzed and pre-processed, and cyberspace was implemented in the form of a Di-Graph. Information products that can be obtained through visualization were classified for each layer of the cyberspace, and a visualization method was proposed for performing cyber IPB. Through this, we analyzed actual North Korea's BGP and OSINT data to implement North Korea's cyber battlefield centered on the Internet network in the form of a prototype. In the future, we will implement a prototype architecture based on Elastic Stack.

An Efficient Visualization Technique of Large-Scale Nodes Structure with Linked Information

  • Mun Su-Youl;Ha Seok-Wun
    • Journal of information and communication convergence engineering
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    • v.3 no.1
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    • pp.49-55
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    • 2005
  • This study is to suggest a visualization technique to display the relations of associated data in an optimal way when trying to display the whole data on a limited space by dealing with a large amount of data with linked information. For example, if you track an IP address through several steps and display the data on a screen, or if you visualize the human gene information on a 3-dimensional space, then it becomes even easier to understand the data flow in such cases. In order to simulate the technique given in this study, the given algorithm was applied to a large number of nodes made in a random fashion to optimize the data and we visually observed the result. According to the result, the technique given in this study is more efficient than any previous method in terms of visualization and utilizing space and allows to more easily understand the whole structure of a node because it consists of sub-groups.

The Study on Dynamic Query Visualization of Digital Data - Focusing on Developing Element, Expression and Interface - (디지털 데이터의 동적 질의형 시각화에 관한 연구 -개발 요소, 표현, 인터페이스 중심으로-)

  • 최홍석;김성곤
    • Archives of design research
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    • v.17 no.2
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    • pp.437-450
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    • 2004
  • Advancement of the media it will be able to express the development and information of computer system causes a problem, how to get the information from plenty of digital data. It needs to the research that provides efficient interface to the user and presents the information visualization standard to the author Consequently, From this paper it investigated analysis of the dynamic diagram and the computer software it led development process of information visualization and result of development outcome. Important developing forms of Information visualization are include Element, Expression, Interface. For developing information visualization model, First, Find the element from many kind of media, include graphic. Second, Find form of the expression from past the diagram which comes to be used plentifully. Last, To get appropriate result it applies the interface, necessary from the interface component which is various uses from computer program. like this, on this paper presents about important three visualization developing forms with detail examples.

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A Study on the Data Visualization for Real Time Power System Operation (실시간 전력계통 운영을 위한 데이터 시각화에 관한 연구)

  • Chog, Yoon-Sung;Joung, Jinyoung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.10
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    • pp.1361-1367
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    • 2013
  • This paper describes and suggests the data visualization for real time power system operation based on energy management system. Because real time power system operation performs analysis of the vast amount of on-line data, the operators need intuitive data visualization to find out useful information in the big data. Especially, in emergency situation, the data visualization is able to assist the operators in handling the crisis quickly and efficiently. Therefore, this paper aims to improve displays of output of real time power system operation by visualizing on-line big data. Through this study, we can develop improved visualization technique for real time power system operation, which has highly readable displays of output and intuitive information.

An Analysis of the Infographics Features of Visualization Materials in Section 'Information and Communication' of Physics I Textbook (물리 I 교과서의 '정보와 통신' 단원에 제시된 시각화 자료의 인포그래픽 특징 분석)

  • Noh, Sang Mi;Son, Jeongwoo
    • Journal of The Korean Association For Science Education
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    • v.34 no.4
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    • pp.359-366
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    • 2014
  • In this study, we try to examine its features by using the methods of systematic infographics analysis for visualization materials that are used in Physics I textbooks. Thus, after developing the analytical framework infographics, visualization materials is described in the section "information and communication" and have been analyzed separately as "data visualization" and "Infographics." The results of this study are as follows. First, the analysis framework of infographics can be classified contents of the information, visual representation, and media method. Second, the visualization materials that are displayed in the section "information and communication" of Physics I textbook are of higher quality than most schematized data that are graphically, simple information. Third, the features of visualization materials in textbooks have many relations & functions on 'information content', text & metaphor on 'visual element', illustration & comparison on 'expression type', graphic on 'expression mode', printed matter on 'media method', and horizontal & vertical type on 'the flow of attention'. From the analysis results, in the section "information and communication" of Physics I textbook uses a lot of visualization materials, however it does not provide rich infographics but only simple graphical materials. By utilizing the results of the analysis of textbook and analysis framework of infographics, which has been developed through the this study, let us hope that the opportunity to be able to grasp the importance of infographics in science education be provided.

The Visualization Evaluation of Traffic Apps using Heuristics Techniques (휴리스틱 기법을 이용한 교통정보 어플리케이션의 시각화 평가)

  • Cho, Hyun-Ji;Nam, Doohee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.3
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    • pp.89-95
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    • 2014
  • Traffic information is closely related to our daily lives. Thanks to the development of portable electronic devices, we can get traffic information rather easily. In particular, Most of traffic informations are being provided through mobile apps due to the spread of smartphones. Accordingly, to improve usability is emerged significant challenge. Therefore, this paper perform comparative evaluation for four traffic mobile apps which is currently being offered in our country and draw user needs. Then we suggest direction of traffic information apps for the future. First, We summarized research trend on information visualization and techniques which is used to traffic mobile apps with introduction traffic mobile apps. We adopted heuristic evaluation technique which is suitable for evaluating visualization and drew evaluation elements for traffic information visualization. Then, We conducted a survey based on evaluation elements so we was able to give objectivity to evaluation of information visualization which was could subjective. Based on the results we could derive results of evaluation of visualization for four traffic mobile apps. We expect that the results of this study will be contributed to develop of traffic information visualization services.

The Artistic Practical Use of Social Network Visualization through the Information Aesthetic Interpretation (정보미학적 해석을 통한 소셜네트워크 시각화의 예술적 활용)

  • Bang, Seungae;Yoon, Joonsung
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.16-23
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    • 2013
  • This paper analyzes the artistic practical use of social network visualization through the aesthetic information interpretation. The first social network visualization has emerged as 'Sociogram' in the form of social network analysis(SNA). Since social network has complex, the analyzing technology of social network has emerged. Early social network visualization has a practical purpose to measure the social structure, but current social network visualization divided into various forms from artistic expressions through information. This paper divide into two categories based on the artistic application of social network visualization. First, this research focuses on the static graph based on analog. Second, this research analyze the category of interacted visualization to generate a real-time digital image. This paper presents the fusion of paradigm between engineering and art through this way.

A Visualization Framework of Information Flows on a Very Large Social Network (초대형 사회망에서의 정보 흐름의 시각화 프레임워크)

  • Kim, Shin-Gyu;Yeom, Heon-Y.
    • Journal of Internet Computing and Services
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    • v.10 no.3
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    • pp.131-140
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    • 2009
  • Recently, the information visualization research community has given significant attention to graph visualization, especially visualization of social networks. However, visualization of information flows in a very large social network has not been studied in depth. However, information flows are tightly related to the structure of social networks and it shows dynamic behavior of interactions between members of social networks. Thus, we can get much useful information about social networks from information flows. In this paper, we present our research result that enables users to navigate a very large social network in Google Maps' method and to take a look at information flows on the network. To this end, we devise three techniques; (i) mapping a very large social network to a 2-dimensional graph layout, (ii) exploring the graph to all directions with zooming it in/out, and (iii) building an efficient query processing framework. With these methods, we can visualize very large social networks and information flows in a limited display area with a limited computing resources.

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A MVC Framework for Visualizing Text Data (텍스트 데이터 시각화를 위한 MVC 프레임워크)

  • Choi, Kwang Sun;Jeong, Kyo Sung;Kim, Soo Dong
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.39-58
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    • 2014
  • As the importance of big data and related technologies continues to grow in the industry, it has become highlighted to visualize results of processing and analyzing big data. Visualization of data delivers people effectiveness and clarity for understanding the result of analyzing. By the way, visualization has a role as the GUI (Graphical User Interface) that supports communications between people and analysis systems. Usually to make development and maintenance easier, these GUI parts should be loosely coupled from the parts of processing and analyzing data. And also to implement a loosely coupled architecture, it is necessary to adopt design patterns such as MVC (Model-View-Controller) which is designed for minimizing coupling between UI part and data processing part. On the other hand, big data can be classified as structured data and unstructured data. The visualization of structured data is relatively easy to unstructured data. For all that, as it has been spread out that the people utilize and analyze unstructured data, they usually develop the visualization system only for each project to overcome the limitation traditional visualization system for structured data. Furthermore, for text data which covers a huge part of unstructured data, visualization of data is more difficult. It results from the complexity of technology for analyzing text data as like linguistic analysis, text mining, social network analysis, and so on. And also those technologies are not standardized. This situation makes it more difficult to reuse the visualization system of a project to other projects. We assume that the reason is lack of commonality design of visualization system considering to expanse it to other system. In our research, we suggest a common information model for visualizing text data and propose a comprehensive and reusable framework, TexVizu, for visualizing text data. At first, we survey representative researches in text visualization era. And also we identify common elements for text visualization and common patterns among various cases of its. And then we review and analyze elements and patterns with three different viewpoints as structural viewpoint, interactive viewpoint, and semantic viewpoint. And then we design an integrated model of text data which represent elements for visualization. The structural viewpoint is for identifying structural element from various text documents as like title, author, body, and so on. The interactive viewpoint is for identifying the types of relations and interactions between text documents as like post, comment, reply and so on. The semantic viewpoint is for identifying semantic elements which extracted from analyzing text data linguistically and are represented as tags for classifying types of entity as like people, place or location, time, event and so on. After then we extract and choose common requirements for visualizing text data. The requirements are categorized as four types which are structure information, content information, relation information, trend information. Each type of requirements comprised with required visualization techniques, data and goal (what to know). These requirements are common and key requirement for design a framework which keep that a visualization system are loosely coupled from data processing or analyzing system. Finally we designed a common text visualization framework, TexVizu which is reusable and expansible for various visualization projects by collaborating with various Text Data Loader and Analytical Text Data Visualizer via common interfaces as like ITextDataLoader and IATDProvider. And also TexVisu is comprised with Analytical Text Data Model, Analytical Text Data Storage and Analytical Text Data Controller. In this framework, external components are the specifications of required interfaces for collaborating with this framework. As an experiment, we also adopt this framework into two text visualization systems as like a social opinion mining system and an online news analysis system.