Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
Temporal reasoning based on semi-intervals
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Real-World Applications of Qualitative Reasoning
IEEE Expert: Intelligent Systems and Their Applications
Reasoning about Gradual Changes of Topological Relationships
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
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
Similarity assessment for cardinal directions between extended spatial objects
Similarity assessment for cardinal directions between extended spatial objects
Representing moving objects in computer-based expert systems: the overtake event example
Expert Systems with Applications: An International Journal
Conceptual neighbourhood diagrams for representing moving objects
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
Processes and events in dynamic geo-networks
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
A qualitative trajectory calculus and the composition of its relations
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
Qualitative relations between moving objects in a network changing its topological relations
Information Sciences: an International Journal
Inferring additional knowledge from QTCN relations
Information Sciences: an International Journal
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Moving objects are commonly handled using quantitative methods and information. However, in many cases, qualitative information can be more efficient and more meaningful than quantitative information. A lot of research has been done in generating, indexing, modelling and querying network-based moving objects, but little work has been done in building a calculus of relations between these objects in a qualitative way. In this paper, we introduce a formal definition of how to represent and reason about the relative trajectories of pairs of objects moving along a network.