Integrating Semantic Directional Relationships into Virtual Environments: A Meta-modelling Approach
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This study is concerned with semantic modelling of virtual environments (VEs). A semantic model of a VE provides an abstract and high level representation of main aspects of the environment: ontological structures, behaviours and interactions of entities, etc. Furthermore, such a semantic model can be explored by artificial agents to exhibit human-like behaviours or to assist users in the VE. Previous research focused on formalising a knowledge layer that is a conceptual representation of scene content or application's entities. However, there still lacks of a semantic representation of spatial knowledge. This paper proposes to integrate a semantic model of directional knowledge into VEs. Such a directional model allows to specify relationships such as left , right , above or north , south that are critical in many applications of VEs (e.g., VEs for training, navigation aid systems). We focus particularly on modelling, computing, and visualising directional relationships. First, we propose a theoretical model of direction in VEs that enables the specification of direction both from a first- and third-person perspective. Second, we propose a generic architecture for modelling direction in VEs using a meta-modelling approach. Directional relationships are described in a qualitative manner and at a conceptual level, and thus are abstract from metrical details of VEs. Finally, we show how our semantic model of direction can be used in a cultural heritage application to specify behaviours of artificial agents and to visualise directional constraints.
Description
@inproceedings{10.2312:EGVE/JVRC11/067-074,
booktitle = {Joint Virtual Reality Conference of EGVE - EuroVR},
editor = {Sabine Coquillart and Anthony Steed and Greg Welch},
title = {{Integrating Semantic Directional Relationships into Virtual Environments: A Meta-modelling Approach}},
author = {Trinh, Thanh-Hai and Chevaillier, Pierre and Barange, M. and Soler, J. and Loor, P. De and Querrec, R.},
year = {2011},
publisher = {The Eurographics Association},
ISSN = {1727-530X},
ISBN = {978-3-905674-33-0},
DOI = {10.2312/EGVE/JVRC11/067-074}
}