Qualitative representation of positional information
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Sensing and visualizing spatial relations of mobile devices
Proceedings of the 18th annual ACM symposium on User interface software and technology
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
Towards Collective Spatial Awareness Using Binary Relations
ICAS '07 Proceedings of the Third International Conference on Autonomic and Autonomous Systems
A framework for utilizing qualitative spatial relations between networked embedded systems
Pervasive and Mobile Computing
Software engineering abstractions for the multi-touch revolution
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
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This paper is about a novel rule-based approach for reasoning about qualitative spatiotemporal relations among technology-rich autonomous objects, to which we refer to as artifacts. The objective of our work is to provide means for defining spatiotemporal constraints - i.e. logical combinations of spatial relations to artifacts at certain time intervals - at a high level of abstraction, and to recognize relative situations therewith. Such constraints are defined with rules that infer high-level relationships for newly recognized situations, which in turn can be used in other constraints. At any time, the history of known relationships can be queried in order to trigger predefined actions. We decided for qualitative abstractions of both spatial and temporal relationships, as they reflect the semantics of natural language terms and thus facilitate dealing with relationships at the application programming level. The core concepts of this reasoning approach are presented, and the implementation of a middleware for spatiotemporal reasoning as well as evaluation results are discussed.