Maintaining knowledge about temporal intervals
Communications of the ACM
Modeling, Storing, and Mining Moving Object Databases
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
Interactive Analysis of Event Data Using Space-Time Cube
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
GeoTime Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Time-focused clustering of trajectories of moving objects
Journal of Intelligent Information Systems
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
A clustering-based approach for discovering interesting places in trajectories
Proceedings of the 2008 ACM symposium on Applied computing
An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
An Evaluation of Space Time Cube Representation of Spatiotemporal Patterns
IEEE Transactions on Visualization and Computer Graphics
A Semantic Approach for the Modeling of Trajectories in Space and Time
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
A general strategy for semantic levels of detail visualization in urban environment
UDMV '13 Proceedings of the Eurographics Workshop on Urban Data Modelling and Visualisation
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Visualizing the implicit information of trajectory data is very important for analyzing human activities and is of great value in the decision making process. The objective of our research is to provide a semantic visualization method for trajectory data and the result of analysis. To format the trajectory data, we propose an object-oriented abstract data type (ADT). An event, which represents the human activities in our ADT, is a critical element for analysis enhanced with two special attributes: a semantic-based relationship to extract implicit information; and semantic-based levels of details (LOD) as a standard for the processing of raw data. The proposed visualization concept has been implemented in a prototype system with a space-time cube. Further information is achieved by internal queries making use of semantic attributes and is shown in an advanced user defined space-time cube, which displays richer information. The results of the experimental prototype system suggest that the proposed visualization method is feasible and flexible.