Constraint Data Modeling for Spatiotemporal Data Application

시공간 데이터 응용을 위한 제약 데이터 모델링

  • Jung, Hun Jo ;
  • Woo, Sung Koo
  • 정훈조 (한서대학교 컴퓨터정보공학과) ;
  • 우성구 (한서대학교 컴퓨터정보공학과)
  • Received : 2010.11.05
  • Accepted : 2010.11.23
  • Published : 2010.12.30


This paper suggests constraint data modeling based on constraint data presentation techniques to perform complex spatial database operation naturally. We were able to identify the limitation of extendibility of dimension and non-equal framework via relevant research for former schema of spatial database and query processing. Therefore we described generalized tuple of spatial data and the definition of suggested constraint data modeling. Also we selected MLPQ/PReSTO tool among constraint database prototype and compare standard functionality of ARC/VIEW. Then we design scenario for spatial operation using MLPQ/PReSTO and we suggested application effect after query processing. Based on above explanation, we were able to identify that we can process spatial data naturally and effectively using simple constraint routine on same framework via constraint data modeling.


Supported by : 한서대학교


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