Proc. SPIE. 9808, International Conference on Intelligent Earth Observing and Applications 2015
KEYWORDS: Digital filtering, Spatial filters, Data transmission, Geographic information systems, Algorithm development, Geomatics, Web services, Roads, Standards development, Optimization (mathematics)
Spatial join among Web Feature Services (WFS) is time-consuming for most of non-candidate spatial objects may be
encoded by GML and transferred to client side. In this paper, an optimization strategy is proposed to enhance
performance of these joins by filtering non-candidate spatial objects as many as possible. By recursive partitioning, the
data skew of sub-areas is facilitated to reduce data transmission using spatial semi-join. Moreover filtering rate is used to
determine whether a spatial semi-join for a sub-area is profitable and choose a suitable execution plan for it. The
experimental results show that the proposed strategy is feasible under most circumstances.