Exploring entities in text with descriptive non-photorealistic rendering

dc.contributor.advisorCollins, Christopher
dc.contributor.authorChang, Meng-Wei
dc.date.accessioned2013-01-04T21:41:22Z
dc.date.accessioned2022-03-29T17:30:08Z
dc.date.available2013-01-04T21:41:22Z
dc.date.available2022-03-29T17:30:08Z
dc.date.issued2012-12-01
dc.degree.disciplineComputer Science
dc.degree.levelMaster of Science (MSc)
dc.description.abstractWe present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering with information visualization. The visualization encodes text data onto 3D models, emphasizing the relative signi ficance of words in the text and the physical, real-world relationships between those words. Analytic exploration is supported through a collection of interactive widgets and direct multitouch interaction with the 3D models. We applied our method to analyze a collection of vehicle complaint reports from National Highway Traffic Safety Administration (NHTSA), and through a qualitative evaluation study, we demonstrate how our system can support tasks such as comparing the reliability of di fferent makes and models, finding interesting facts, and revealing possible causal relations between car parts.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.identifier.urihttps://hdl.handle.net/10155/291
dc.language.isoenen
dc.subjectIIlustrative visualizationen
dc.subjectIntegrating spatial and non-spatial dataen
dc.subjectText visualizationen
dc.subjectUser interfacesen
dc.titleExploring entities in text with descriptive non-photorealistic renderingen
dc.typeThesisen
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameMaster of Science (MSc)

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