Abstract
Sharing of spatial data using internet is getting common as seen in various developments in Spatial Data Infrastructure (SDI). Spatial data sharing requires standardized file format for interoperability which could be seen in different working groups in Geography Mark-up Language (GML) and CityGML where different level of details (LOD) is described in CityGML for 3D city. In order to solve the large dataset problem that arises due to XML describ-able advantage used in CityGML, a schema-aware encoder (CitySAC) is invented and achieved better compression ratio and required lesser time, compared to the novel Lemper-Zipf-Markov (LZMA) algorithm. Since geometries and semantics data are required in data transaction over the web services especially for analysis, the use case of the proprietor schema-aware encoder is defined. The advantage of the decoder is the availability for code-on-demand. This chapter discusses brief introduction of the schema-aware development background as well as the related works; the development of javascript decoder to solve the interoperability issue in implementing CitySAC over the open web environment as well as the example application.
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Acknowledgments
We would like to convey our deepest acknowledgement to Ministry of Higher Education (MOHE), Malaysia for the scholarship under the program MyPhD, MyBrain15 and enabling us to carry out this research project.
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Bernad, S.C., Rahman, A.A., Zainal, M.L.b., Abu Hanifah, F.b. (2014). A Javascript Decoder for CitySAC in 3D SDI Web Transaction. In: Abdul Rahman, A., Boguslawski, P., Anton, F., Said, M., Omar, K. (eds) Geoinformation for Informed Decisions. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-03644-1_10
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