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  • 标题:Extending UML for trajectory data warehouses conceptual modelling
  • 本地全文:下载
  • 作者:Wided Oueslati ; Jalel Akaichi
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2012
  • 卷号:3
  • 期号:11
  • DOI:10.14569/IJACSA.2012.031102
  • 出版社:Science and Information Society (SAI)
  • 摘要: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.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Trajectory data; trajectory data warehouse; UML extension; trajectory UML profile.
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