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

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

The 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.
Original languageEnglish
Title of host publicationVision, Modeling and Visualization
Subtitle of host publication25th International Symposium on Vision, Modeling and Visualization, VMV 2020, Tübingen, Germany, September 28 - October 1, 2020
EditorsJens H. Krüger, Matthias Nießner, Jörg Stückler
PublisherEurographics - European Association for Computer Graphics
Pages137-144
Number of pages8
DOIs
Publication statusPublished - 2020
Event5th International Symposium on Vision, Modeling, and Visualization - Virtuell, Germany
Duration: 28 Sep 20201 Oct 2020

Conference

Conference5th International Symposium on Vision, Modeling, and Visualization
Abbreviated titleVMV 2020
CountryGermany
CityVirtuell
Period28/09/201/10/20

Fields of Expertise

  • Information, Communication & Computing

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