Abstract
The new positioning and information capture technologies are able to treat data related to moving objects taking place in targeted phenomena. This gave birth to a new data source type called trajectory data (TD) which handle information related to moving objects. Trajectory Data must be integrated in a new data warehouse type called trajectory data warehouse (TDW) that is essential to model and to implement in order to analyze and understand the nature and the behavior of movements of objects in various contexts. However, classical conceptual modeling does not incorporate the specificity of trajectory data due to the complexity of their components that are spatial, temporal and thematic (semantic). For this reason, we focus in this paper on presenting the conceptual modeling of the trajectory data warehouse by defining a new profile using the StarUML extensibility mechanism. Keywords—Trajectory data; trajectory data warehouse; UML extension; trajectory UML profile.
Highlights
INTRODUCTIONConceptual modeling offers a higher level of abstraction while describing the data warehousing project since it stays valid in case of technological evolution
The success of the warehousing process rests on a good conceptual modeling schema
The first one is related to the Trajectory Data Warehouse Diagram, the second one is related to the Trajectory Data Class Diagram
Summary
Conceptual modeling offers a higher level of abstraction while describing the data warehousing project since it stays valid in case of technological evolution. It allows determining analysis possibilities for the warehouse. No contribution is at the present time standard in term of trajectory data semantic models. This finding leads us to propose a new UML profile with user oriented graphical support to represent trajectory data and trajectory data warehouse conceptual modeling with structural model (class diagram) and dynamic model (sequence diagram).
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More From: International Journal of Advanced Computer Science and Applications
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