Applying Deductive Techniques to the Creation of Realistic Historical 3D Spatiotemporal Visualisations from Natural Language Narratives

Abstract

This paper builds on previous research into the development of the TMap3D system which allows for the creation of historical 3D spatiotemporal visualisations from natural language narratives [1]. This paper addresses the use of deductive 3D modelling techniques to generate the realism of the object behaviours, the environmental conditions and their interactions within the visualisation. The authors define deductive 3D modelling techniques as follows: (i) Given an object and its specification the Vist3D system (formally TMap3D) can deduce the object’s visualised behaviour in response to a given “real world” instruction from the natural language narrative. (ii) The Vist3D system can deduce visualised environmental conditions from the natural language narrative. (iii) The Vist3D system can deduce the interactions between the objects (e.g. ship) and the environmental conditions (e.g. rough sea) to generate, for example, a ship rolling in rough seas.

Contributors

Amanda Oddie

Paul Hazlewood

Brian Farrimond

Steve Presland

Conference

Publication date: July 2011

Publication date (Print): July 2011

Pages: 97-105

Affiliations

Liverpool Hope University

Hope Park,

Liverpool L16 9JD

Article

DOI: 10.14236/ewic/EVA2011.20

Copyright statement: © Amanda Oddie et al. Published by BCS Learning and Development Ltd. Electronic Visualisation and the Arts (EVA 2011), London, UK

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Electronic Visualisation and the Arts (EVA 2011)

Conference acronym: EVA

Conference number:

Conference location: London, UK

Conference date: 6 - 8 July 2011

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Electronic Visualisation and the Arts (EVA 2011)

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2011.20

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing