Maintaining Semi-structured Spatio-Temporal Data Based on Nesting-Relation-Oriented Model

نویسندگان

  • YANG Jun
  • XU Jinghua
چکیده

semi-structured spatio-Temporal data has become prevalent with growth of GIS. In this paper, we propose to use “Nested” natural of spatio-Temporal data to storing & maintaining it efficiently in an Object-Relational Database based on Nesting-Relation-Oriented data Model– one of N1NF database. This model not only reflects the nested structure of semi-structured spatio-Temporal data, but also distinguishes between entity object classes and SpatioTemporal nested relationship classes, and between attributes of entity object classes and attributes of nested relationship classes using more data semantics. Our approach has a little redundancy in storage and more efficiency of update in manage.

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تاریخ انتشار 2011