Intelligent Geo-web Services Based on Hybrid-mashup Using Open Source Geo-spatial Software

In these days, geo-spatial technologies, as components in geo-web, according to extension of web 2.0 or more paradigms are diversified and emerged: software as a service, asynchronous particle update, mashup, open sources, rich user experiences, collaborate tagging, and structured information. These are closely related and linked to each other, so as to design and implementation stages for a given target application to meet users’ needs. In the mean time, many types of applications using some of them have been developed and implemented. The main theme in this study is a sort of hybrid-mashup. This term is distinguished from data-centric mashup, a typical mashup. As well, it focuses on open sources in geo-spatial communities, open APIs provided by web portal or commercial vendors, geo-standards in OGC and ISO and freely-accessed geo-based data. This can be regarded as technological bases towards more intelligent geo-web to fulfil more complex users’ demands beyond data level. In this study, some cases are presented; for examples, mashup using Google maps API, smart 3D applications on mobile devices, or data interoperable application using middle ware of open sources. Architecture with layered structure for hybrid-mashup in geo-web is proposed with an example case. Open sources widely used in geo-spatial domain such as Geoserver or Deegree are utilized, and other open sources are also used in design process: PostgreSQL/PostGIS as open DBMS and spatial engine, and OpenLayers or Google maps API as client modules. The beneficial points of hybrid-mashup in the view from intelligent geo-web implementation are system adaptability and portability, and extensibility for user-sided application purposes.