Spatial Cognition, An Interdisciplinary Approach to Representing and Processing Spatial Knowledge
A model for enriching trajectories with semantic geographical information
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
A conceptual view on trajectories
Data & Knowledge Engineering
Knowledge-based wayfinding maps for small display cartography
Journal of Location Based Services - 4th International Conference on LBS and TeleCartography Hong Kong
Context-Specific Route Directions: Generation of Cognitively Motivated Wayfinding Instructions
Context-Specific Route Directions: Generation of Cognitively Motivated Wayfinding Instructions
Encoding network-constrained travel trajectories using routing algorithms
International Journal of Knowledge and Web Intelligence
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
EHSTC: an enhanced method for semantic trajectory compression
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
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In the light of rapidly growing repositories capturing the movement trajectories of people in spacetime, the need for trajectory compression becomes obvious. This paper argues for semantic trajectory compression (STC) as a means of substantially compressing the movement trajectories in an urban environment with acceptable information loss. STC exploits that human urban movement and its large---scale use (LBS, navigation) is embedded in some geographic context, typically defined by transportation networks. STC achieves its compression rate by replacing raw, highly redundant position information from, for example, GPS sensors with a semantic representation of the trajectory consisting of a sequence of events . The paper explains the underlying principles of STC and presents an example use case.