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dc.contributor.editorBurghardt, Dirk
dc.contributor.editorDemidova, Elena
dc.contributor.editorKeim, Daniel A.
dc.date.accessioned2024-03-13T11:09:39Z
dc.date.available2024-03-13T11:09:39Z
dc.date.issued2024
dc.identifierONIX_20240313_9783031353741_4
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/88291
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UB Information technology: general topicsen_US
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography::RGW Geographical information systems, geodata and remote sensingen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data miningen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systemsen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studiesen_US
dc.subject.otherSpatio-temporal Systems
dc.subject.otherGeographical Information Systems
dc.subject.otherSocial Media Systems
dc.subject.otherData Privacy
dc.subject.otherGeovisualization
dc.subject.otherOpenStreetMap
dc.subject.otherInformation Retrieval
dc.titleVolunteered Geographic Information
dc.title.alternativeInterpretation, Visualization and Social Context
dc.typebook
oapen.identifier.doi10.1007/978-3-031-35374-1
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedByfa5b757d-1536-49fc-897b-0f9d57524730
oapen.relation.isbn9783031353741
oapen.relation.isbn9783031353734
oapen.imprintSpringer Nature Switzerland
oapen.pages297
oapen.place.publicationCham
oapen.grant.number[...]


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