Exploring entities in text with descriptive non-photorealistic rendering

We 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.

Name thesis:degree_name

Master of Science (MSc)

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Chang, Meng-Wei

Advisor dc:contributor.advisor

• Collins, Christopher

• IIlustrative visualization
• Integrating spatial and non-spatial data
• Text visualization
• User interfaces

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/291

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/291