Visual Exploration of Cultural Heritage Collections with Linked Spatiotemporal, Shape and Metadata Views

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dc.contributor.authorLengauer, Stefanen_US
dc.contributor.authorKomar, Alexanderen_US
dc.contributor.authorKarl, Stephanen_US
dc.contributor.authorTrinkl, Elisabethen_US
dc.contributor.authorPreiner, Reinholden_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorKrüger, Jens and Niessner, Matthias and Stückler, Jörgen_US
dc.date.accessioned2020-09-27T18:14:20Z
dc.date.available2020-09-27T18:14:20Z
dc.date.issued2020
dc.description.abstractThe analysis of Cultural Heritage (CH) artefacts is an important task in the Digital Humanities. Increasingly, rich CH artefact data comprising metadata of different modalities becomes available in digital libraries and research data repositories. How- ever, the large amounts and heterogeneity of artefacts in these repositories compromise their accessibility for common domain analysis tasks, as domain researchers lack a structural overview of the spatial, temporal, and categorical traits of the artefacts in these collections. Still, researchers need to compare artefacts along different modalities, put them into context, and deal with possible uncertainties, subjectivities, or missing data. To date, many works support domain research via interactive visuali- sation. The majority relies primarily on visualisation of text and metadata including spatiotemporal, image and shape data. However, fewer consider these types of data in a tightly coupled way. We present an approach for tightly integrated multimodal visual exploration of large CH data collections along space, time and shape traits. Based on requirements obtained in collab- oration with domain researchers, we introduce a set of interlinked views for exploration of said modalities. An appropriately defined approach automatically computes most significant correlations across different modalities, guiding the user towards de- tecting interesting artefact relationships. We apply our approach to pertinent archaeological data collections, and demonstrate that characteristic explorative tasks are effectively supported and domain-relevant artefact relations can be discovered.en_US
dc.description.sectionheadersPractical Visualization
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20201196
dc.identifier.isbn978-3-03868-123-6
dc.identifier.pages137-144
dc.identifier.urihttps://doi.org/10.2312/vmv.20201196
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20201196
dc.publisherThe Eurographics Associationen_US
dc.subjectInformation systems
dc.subjectDigital libraries and archives
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectVisualization techniques
dc.subjectInteractive systems and tools
dc.titleVisual Exploration of Cultural Heritage Collections with Linked Spatiotemporal, Shape and Metadata Viewsen_US
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