Abstract
Abstract. Web services utilizations in Spatial Data Infrastructure (SDI) have been well established and standardized by Open Geospatial Consortium (OGC). Similar web services for 3D SDI are also being established in recent years, with extended capabilities to handle 3D spatial data. The increasing popularity of using City Geographic Markup Language (CityGML) for 3D city modelling applications leads to the needs for large spatial data handling for data delivery. This paper revisits the available web services in OGC Web Services (OWS), and propose the background concepts and requirements for encoding spatial data via Web Encoding Service (WES). Furthermore, the paper discusses the data flow of the encoder within web service, e.g. possible integration with Web Processing Service (WPS) or Web 3D Services (W3DS). The integration with available web service could be extended to other available web services for efficient handling of spatial data, especially 3D spatial data.
Highlights
City models are especially important for presentation of business locations and urban development that is required by public and private sectors, such as providing the platform that supports the process from civic participation to decision-making and policyformulation, as reported by Kolbe et al (2008)
CONCLUDING REMARKS In this paper we showcase the draft of a new web service called Web Encoding Service (WES) for spatial data compression handling
We have shown the nature of Web Processing Service (WPS) as a middleware, which mechanism could be useful for WES
Summary
City models are especially important for presentation of business locations and urban development that is required by public and private sectors, such as providing the platform that supports the process from civic participation to decision-making and policyformulation, as reported by Kolbe et al (2008). The usages of CityGML or GML in SDI architecture especially web services are quite significant due to the verbosity and declarative nature of XML schema. These benefits come with drawbacks, i.e. when large file size transaction is expected within client to server, or server to server. On the other hand, dealing with semantic data that is required by analysis for orchestration in Web Processing Service (WPS), a data model with semantics is necessary To deal with these requirements, transmitting CityGML in large datasets should be well-handled. Encoding as a service for spatial data gains binary transaction benefit and maintain interoperability Such service mimic the implementation of WPS that could be used for web service chaining.
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