22,397 research outputs found

    The State-of-the-Art of Set Visualization

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    Sets comprise a generic data model that has been used in a variety of data analysis problems. Such problems involve analysing and visualizing set relations between multiple sets defined over the same collection of elements. However, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into six main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address these challenges. Further resources on set visualization are available at http://www.setviz.net

    DARIAH and the Benelux

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    Narrative and Hypertext 2011 Proceedings: a workshop at ACM Hypertext 2011, Eindhoven

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    SlicerAstro: a 3-D interactive visual analytics tool for HI data

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    SKA precursors are capable of detecting hundreds of galaxies in HI in a single 12 hours pointing. In deeper surveys one will probe more easily faint HI structures, typically located in the vicinity of galaxies, such as tails, filaments, and extraplanar gas. The importance of interactive visualization has proven to be fundamental for the exploration of such data as it helps users to receive immediate feedback when manipulating the data. We have developed SlicerAstro, a 3-D interactive viewer with new analysis capabilities, based on traditional 2-D input/output hardware. These capabilities enhance the data inspection, allowing faster analysis of complex sources than with traditional tools. SlicerAstro is an open-source extension of 3DSlicer, a multi-platform open source software package for visualization and medical image processing. We demonstrate the capabilities of the current stable binary release of SlicerAstro, which offers the following features: i) handling of FITS files and astronomical coordinate systems; ii) coupled 2-D/3-D visualization; iii) interactive filtering; iv) interactive 3-D masking; v) and interactive 3-D modeling. In addition, SlicerAstro has been designed with a strong, stable and modular C++ core, and its classes are also accessible via Python scripting, allowing great flexibility for user-customized visualization and analysis tasks.Comment: 18 pages, 11 figures, Accepted by Astronomy and Computing. SlicerAstro link: https://github.com/Punzo/SlicerAstro/wiki#get-slicerastr

    ํŠธ๋ฆฌ ๊ตฌ์กฐ๋ฅผ ์ด์šฉํ•œ 3์ฐจ์› ๊ณต๊ฐ„ ๋‚ด ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ฏธ์ˆ ๋Œ€ํ•™ ๋””์ž์ธํ•™๋ถ€ ๋””์ž์ธ์ „๊ณต, 2019. 2. ๊น€์ˆ˜์ •.Speculative visualization combines both data visualization methods and aesthetics to draw attention to specific social, political and environmental issues. The speculative data visualization project proposed in this work explores electronic waste trade and the environmental performance of various nations. Illegal trading of electronic waste without proper disposal and recycling measures has a severe impact on both human health and the environment. This trade can be represented as a network data structure. The overall environmental health and ecosystem vitality of those trading countries, represented by their Environmental Performance Index (EPI), can also give greater insight into this issue. This EPI data has a hierarchical structure. This work explores methods to visualize these two data sets simultaneously in a manner that allows for analytical exploration of the data while communicating its underlying meaning. This project-based design research specifically focuses on visualizing hierarchical datasets with a node-link type tree structure and suggests a novel data visualization method, called the data garden, to visualize these hierarchical datasets within a spatial network. This draws inspiration from networks found between trees in nature. This is applied to the illegal e-waste trade and environmental datasets to provoke discussion, provide a holistic understanding and improve the peoples awareness on these issues. This uses both analytical data visualization techniques, along with a more aesthetic approach. The data garden approach is used to create a 3D interactive data visualization that users can use to navigate and explore the data in a meaningful way while also providing an emotional connection to the subject. This is due to the ability of the data garden approach to accurately show the underlying data while also closely mimicking natural structures. The visualization project intends to encourage creative professionals to create both visually appealing and thought-provoking data visualizations on significant issues that can reach a mass audience and improve awareness of citizens. Additionally, this design research intends to cause further discussion on the role of aesthetics and creative practices in data visualizations.์‚ฌ๋ณ€์  ์‹œ๊ฐํ™”(speculative visualization)๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๋ฐฉ๋ฒ•๊ณผ ๋ฏธํ•™์„ ๊ฒฐํ•ฉํ•˜์—ฌ ํŠน์ •ํ•œ ์‚ฌํšŒ, ์ •์น˜ ๋ฐ ํ™˜๊ฒฝ ๋ฌธ์ œ์— ๊ด€์‹ฌ์„ ์œ ๋„ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ œ์•ˆํ•œ ์‚ฌ๋ณ€์  ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ํ”„๋กœ์ ํŠธ๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๊ตญ๊ฐ€์˜ ์ „์ž ํ๊ธฐ๋ฌผ ๊ฑฐ๋ž˜์™€ ํ™˜๊ฒฝ ์„ฑ๊ณผ๋ฅผ ์‚ดํŽด๋ด…๋‹ˆ๋‹ค. ์ ์ ˆํ•œ ์ฒ˜๋ฆฌ์™€ ์žฌํ™œ์šฉ ์กฐ์น˜๊ฐ€ ์ด๋ค„์ง€์ง€ ์•Š์€ ์ „์žํ๊ธฐ๋ฌผ์˜ ๋ถˆ๋ฒ• ๊ฑฐ๋ž˜๋Š” ํ™˜๊ฒฝ๊ณผ ์ธ๊ฐ„์— ์‹ฌ๊ฐํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ์ด ๊ฑฐ๋ž˜๋Š” ๋„คํŠธ์›Œํฌ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ™˜๊ฒฝ์„ฑ๊ณผ์ง€์ˆ˜(EPI)๋ฅผ ํ†ตํ•ด ์ด ๊ฑฐ๋ž˜์— ์ฐธ์—ฌํ•˜๋Š” ๊ตญ๊ฐ€๋“ค์˜ ์ „๋ฐ˜์ ์ธ ํ™˜๊ฒฝ ๋ณด๊ฑด๊ณผ ์ƒํƒœ๊ณ„ ํ™œ๋ ฅ์„ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์€ ์ด ๋ฌธ์ œ์— ๋” ๊นŠ์€ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ํ™˜๊ฒฝ์„ฑ๊ณผ์ง€์ˆ˜๋Š” ๊ณ„์ธต ๊ตฌ์กฐ๋กœ ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„์ ์œผ๋กœ ํƒ๊ตฌํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋‘ ๊ฐ€์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ๋™์‹œ์— ์‹œ๊ฐํ™”ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ํ‘œ๋ฉด์— ๋“œ๋Ÿฌ๋‚˜์ง€ ์•Š๋Š” ๋ฐ์ดํ„ฐ์˜ ์˜๋ฏธ๋ฅผ ์ „๋‹ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ”„๋กœ์ ํŠธ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ๋””์ž์ธ ์—ฐ๊ตฌ๋กœ, ๋…ธ๋“œ ๋งํฌ ์œ ํ˜• ํŠธ๋ฆฌ ๊ตฌ์กฐ๋ฅผ ํ†ตํ•ด ๊ณ„์ธต์  ๋ฐ์ดํ„ฐ๋ฅผ ์‹œ๊ฐํ™”ํ•˜๋Š” ๊ฒƒ์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ž์—ฐ์—์„œ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋Š” ๋‚˜๋ฌด ๊ฐ„ ๋„คํŠธ์›Œํฌ์—์„œ ์˜๊ฐ์„ ์–ป์–ด ๊ณต๊ฐ„ ๋„คํŠธ์›Œํฌ์—์„œ ๊ณ„์ธต์  ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์‹œ๊ฐํ™”ํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •์›์ด๋ผ๊ณ  ํ•˜๋Š” ์ด ์ƒˆ๋กœ์šด ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๋ฐฉ๋ฒ•์„ ๋ถˆ๋ฒ• ์ „์ž ํ๊ธฐ๋ฌผ ๊ฑฐ๋ž˜์™€ ํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ์— ์ ์šฉํ•˜์—ฌ ํ† ๋ก ์„ ์œ ๋ฐœํ•˜๊ณ  ์ „์ฒด์ ์ธ ์ดํ•ด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ์ธ์‹์„ ๊ฐœ์„ ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณด๋‹ค ๋ฏธ์ ์ธ ์ ‘๊ทผ๊ณผ ๋ถ„์„์  ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๊ธฐ์ˆ ์„ ๋ชจ๋‘ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •์›์„ ํ†ตํ•œ ์ ‘๊ทผ์œผ๋กœ ์‚ผ์ฐจ์› ๋Œ€ํ™”ํ˜• ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹œ๊ฐํ™”๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์˜๋ฏธ ์žˆ๋Š” ๋ฐฉ์‹์œผ๋กœ ์‚ดํŽด๋ณด๋Š” ๋™์‹œ์— ์ฃผ์ œ์™€ ๊ฐ์„ฑ์ ์ธ ์—ฐ๊ฒฐ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋ฐ์ดํ„ฐ ์ •์› ๋ฐฉ๋ฒ•์ด ๋ฐ์ดํ„ฐ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ๋ณด์—ฌ์ฃผ๋Š” ๋™์‹œ์— ์ž์—ฐ ๊ตฌ์กฐ๋ฅผ ๋ฉด๋ฐ€ํ•˜๊ฒŒ ๋ชจ๋ฐฉํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ๋ณธ ์‹œ๊ฐํ™” ํ”„๋กœ์ ํŠธ๋Š” ์ฐฝ์˜์ ์ธ ์ „๋ฌธ๊ฐ€๋“ค์ด ์ค‘์š”ํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•ด ์‹œ๊ฐ์ ์œผ๋กœ ๋งค๋ ฅ์ ์ด๊ณ  ์ƒ๊ฐ์„ ์ž๊ทนํ•˜๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”๋ฅผ ๋งŒ๋“ค์–ด ๋Œ€์ค‘์—๊ฒŒ ๋„๋‹ฌํ•˜๊ณ  ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹์„ ํ–ฅ์ƒํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๋””์ž์ธ ์—ฐ๊ตฌ๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”์—์„œ ๋ฏธํ•™๊ณผ ์ฐฝ์กฐ์ ์ธ ์‹ค์ฒœ์˜ ์—ญํ• ์— ๋Œ€ํ•œ ๋” ๋งŽ์€ ๋…ผ์˜๋ฅผ ์œ ๋„ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.Abstract I Table of Contents III List of Figures VI 1. Introduction 1 1.1 Research Background 2 1.2 Research Goal and Method 6 1.3 Terminology 9 2. Hierarchical Relationships: Trees 14 2.1 The History of Tree Diagrams 16 2.1.1 Significance of Trees 16 2.1.2 Aristotles Hierarchical Order of Life 19 2.1.3 Early Religious Depictions of Hierarchical Structures 22 2.1.4 Depicting Evolution 26 2.2 Tree Structures 29 2.3 Tree Layouts 31 3. Complex Relationships: Networks 34 3.1 Attributes of Networks 36 3.1.1 Interdependence and Interconnectedness 38 3.1.2 Decentralization 42 3.1.3 Nonlinearity 45 3.1.4 Multiplicity 46 3.2 Spatial Networks 46 3.3 Combining Tree Structures and Networks 48 4. Design Study Goals and Criteria 51 4.1 Objectives of the Design Study 71 4.2 Data Visualization Approaches 54 4.3 Criteria of Data Visualization 57 4.3.1 Aesthetics 58 4.3.2 Information Visualization Principles 62 4.3.2.1 Visual Cues in Data Visualization 62 4.3.2.2 Gestalt Principles 65 4.3.2.3 Increasing Efficiency of Network Visualizations 67 4.4 Case Study 70 5. Design Study: Data Garden Method 78 5.1 Concept of the Data Garden Structure 79 5.2 Data Garden Tree Structure 84 5.2.1 360ยฐVertical Branches 85 5.2.2 Break Point of the Branches 87 5.2.3 Aligning Hierarchy Levels 89 5.2.3.1 Design 01 โ€“ Extend Method 90 5.2.3.2 Design 02 โ€“ Collapse Method 91 5.2.4 Node Placement Technique 92 5.3 Conveying 3D Information 95 6. Design Study: Visualization Project 98 6.1 Theme 99 6.1.1 E-waste Trade 100 6.1.2 Environmental Performance Index 102 6.2 Visual Design Concept 104 6.3 Assigning Attributes 105 6.4 Visual Design Process 107 6.4.1 Leaf (Node) Design Process 107 6.4.1.1 Leaf Inspiration 107 6.4.1.2 Leaf Design 108 6.4.1.3 Leaf Area Calculation and Alignment 113 6.4.2 Stem (Branch) Design Process 116 6.4.3 Root (Link) Design Process 117 6.5 Interaction Design 118 6.5.1 Navigation 118 6.5.2 User Interface 119 6.5.3 Free and Detail Modes 120 6.5.4 Data Details 121 6.6 Visualization Renders 122 6.7 Exhibition 129 7. Conclusion 131 7.1 Conclusion 132 7.2 Limitations and Further Research 133 Bibliography 135 ๊ตญ๋ฌธ์ดˆ๋ก (Abstract in Korean) 144Docto

    Comprehensive Review of Opinion Summarization

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    The abundance of opinions on the web has kindled the study of opinion summarization over the last few years. People have introduced various techniques and paradigms to solving this special task. This survey attempts to systematically investigate the different techniques and approaches used in opinion summarization. We provide a multi-perspective classification of the approaches used and highlight some of the key weaknesses of these approaches. This survey also covers evaluation techniques and data sets used in studying the opinion summarization problem. Finally, we provide insights into some of the challenges that are left to be addressed as this will help set the trend for future research in this area.unpublishednot peer reviewe

    HBIM and Virtual Tools: A New Chance to Preserve Architectural Heritage

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    Nowadays, architectural heritage is increasingly exposed to dangers due to natural disasters or human invasive actions. However, management and conservation represent crucial phases within the life cycle of historical buildings. Unfortunately, the complexity of conservation practices and the lack of knowledge of historic buildings are the cause of an inefficient recovering process in case of emergencies. To overcome this problem, this research aims to ensure the preservation of relevant information through the use of building information modeling (BIM) methodology. By developing historic building information models (HBIMs), it is possible to enhance the architectural heritage. This represents an opportunity to incorporate digital media into the global heritage conservation field. To achieve this goal, a historical castle was selected as a case study; this unique piece of architecture is located in the Piedmont Region, close to city of Turin (Italy). The results show a direct relation between a historical digital model, finalized to the management of architectural and system components, and visualization tools. To conclude, the adoption of this strategy is an effective way to preserve and consult information using advanced visualization techniques based on augmented and virtual reality (AR and VR)

    Data Materialization: A Hybrid Process for Crafting a Teapot

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    Data materialization is a workflow developed to create 3D objects from data-informed designs. Building upon traditional metalwork and craft, and new technology's data visualization with generative art, this workflow expresses conceptually relevant data through 3D forms which are fabricated in traditional media. The process allows for the subtle application of data in visual art, allowing the aesthetic allure of the art object or installation to inspire intellectual intrigue. This paper describes the technical and creative process of Modern Dowry, a silver-plated 3D-print teapot on view at the Museum of the City of New York, June 2017--June 2018.Museum of the City of New York; Jeannine Falino; the National Science Foundation for supporting the Computing in the Arts workshops (DUE 1323610, DUE 1323605, DUE 1323593); Reiserโ€™s fellow principle investigators (Bill Manaris, Renee McCauley, Jennifer Burg and Rebecca Bruce); Seton Hall Universityโ€™s Digital Humanities Fellowship Program for funding and support; and Vassar Collegeโ€™s Creative Arts Across Disciplines Program for their summer residency and exceptional collegiality

    Visualizing the scientific information nowadays: the problems and challenges

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    In recent years, a comparably fresh research field โ€” information visualization has become commonly available for the researchers of all specialties. Information or knowledge maps play a role of interface for the analysis and intensive study of scientific community and knowledge domains development. The popularity of visualization techniques and interdisciplinary framework has resulted in many problems that have not been solved since the field had emerged. The article introduces the instrumental problems and challenges in this field. Exposing the functions information visualization allows to understand the difficulties and barriers within the whole visualizing process. A particular example of insight into the Polish science map is considered in the context of a new knowledge
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