Qualitative Representation of Spatial Knowledge
Qualitative Representation of Spatial Knowledge
Spatial ontology for semantic integration in 3D multimodal interaction framework
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Coupling Ontologies with Graphics Content for Knowledge Driven Visualization
VR '06 Proceedings of the IEEE conference on Virtual Reality
Modeling and Computing Ternary Projective Relations between Regions
IEEE Transactions on Knowledge and Data Engineering
The benefits of third-person perspective in virtual and augmented reality?
Proceedings of the ACM symposium on Virtual reality software and technology
Intuitively specifying object dynamics in virtual environments using VR-WISE
Proceedings of the ACM symposium on Virtual reality software and technology
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Presence: Teleoperators and Virtual Environments
Semantic modelling for virtual worlds a novel paradigm for realtime interactive systems?
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
A framework for VR application based on spatial, temporal and semantic relationship
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
Projective relations in a 3d environment
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Get involved in an interactive virtual tour of brest harbour: follow the guide and participate
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
Integrating semantic directional relationships into virtual environments: a meta-modelling approach
EGVE - JVRC'11 Proceedings of the 17th Eurographics conference on Virtual Environments & Third Joint Virtual Reality
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Spatial objects and relationships between them, compose a spatial model that is the backbone of virtual environments (VEs). However, due to the natural complexity of both spatial objects and spatial information, the modeling of such spatial relationships is still a difficult task. This paper presents a novel approach for representing semantic spatial relations in VEs using the Unified Modeling Language (UML) and the Object Constraint Language (OCL). Our approach first uses the UML class model as a conceptual model for VEs. We then propose a spatial extension of OCL named VRX-OCL as a high-level and flexible language to cover multidimensional, manifold, and reference frame-dependent spatial constraints. We mainly focus on two important classes of spatial relations, namely, topological and projective relations that allow nonmetric representation of space. The applicability of our approach is demonstrated in the Virtual Physics Laboratory, a VE for learning physics. Based on the constraints satisfaction, the system is able to visualize abstract spatial information and thus provides educational assistance to the learners.