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        Volunteered Geographic Information

        Interpretation, Visualization and Social Context

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        Contributor(s)
        Burghardt, Dirk (editor)
        Demidova, Elena (editor)
        Keim, Daniel A. (editor)
        Language
        English
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        Abstract
        This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, Visualization, and Social Computing" (2016-2023). The book includes three parts representing the principal research pillars within the program. Part I "Representation and Analysis of VGI" discusses recent approaches to enhance the representation and analysis of VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores geovisualizations and user interactions supporting the analysis and presentation of VGI data. When designing these visualizations and user interactions, the specific properties of VGI data, the knowledge and abilities of different target users, and technical viability of solutions need to be considered. Part III "Active Participation, Social Context and Privacy Awareness" of the book addresses the human impact associated with VGI. It includes chapters on the use of wearable sensors worn by volunteers to record their exposure to environmental stressors on their daily journeys, on the collective behavior of people using location-based social media and movement data from football matches, and on the motivation of volunteers who provide important support in information gathering, filtering and analysis of social media in disaster situations. The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.
        URI
        https://library.oapen.org/handle/20.500.12657/86105
        Keywords
        Spatio-temporal Systems; Geographical Information Systems; Social Media Systems; Data Privacy; Geovisualization; OpenStreetMap; Information Retrieval
        DOI
        10.1007/978-3-031-35374-1
        ISBN
        9783031353741, 9783031353741, 9783031353734
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2024
        Grantor
        • Technische Universität Dresden - [...]
        Imprint
        Springer Nature Switzerland
        Classification
        Information technology: general issues
        Geography
        Data mining
        Media studies
        Pages
        297
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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