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Fig. 2
The compression and decompression pipeline
(Ng et al. 2006 ) introduced indexing method via Pseudo-Depth-First strategy
which builds a DTD tree. Fast Infoset (FI) uses ASN.1 ( 2005 ) notation which is
currently the standard: ITU-T Rec. X.891 and ISO/IEC 24824-1.
Various SDI seen around the world, such as INSPIRE (Infrastructure for Spatial
Information in the European Community), Digital China Geospatial Framework
(DCGF) (Lia et al. 2008 ), National Land Information System (NLIS) in Poland
(Gazdzicki and Linsenbarth 2004 ), etcshow the importance of spatial data sharing
for various requirements. Sharing of data using a common file format such as GML
is seen in various researches (Christensen et al. 2007 ) (Galip 2007 ). Extending 2-
dimensional into 3-dimensional SDI initiatives are well discussed in Berlin-3D and
Heidelberg-3D (Basanow et al. 2008 ), which uses CityGML and common data
sharing format. Few other examples that use semantics and geometries in analysis
are shown in, (Walenciak et al. 2009 ; Stollberg and Zipf 2007 ; Lanig and Zipf 2010 ).
This chapter aims to discuss the methodology or workflow that involved in devel-
oping the decoder for the prebuilt schema aware encoder CitySAC (Siew and Abdul
Rahman 2013 ) and how the web transaction could achieve interoperability while
allowing binary data transaction within the web service using HTTP protocols.
3 City Schema-Aware Compressor
The flow of encoding pipeline follow stages discussed by Augeri ( 2001 ) (Fig. 2 )
showing the general stages on how information is transformed. b(t) denoted the
source file symbol and the transformed output would be ^b(t).
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