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Applications
Abstract | PDF
Efficient way of Exchanging Geospatial data over the Web
Pouria Amirian
K.N.Toosi University of technology,
Email: p_amirian@hotmail.com
Nowadays, in the GIS world, same as other IT related disciplines, the Internet and its applications, particularly the World Wide Web (WWW), make exchange of geospatial data and publishing geospatial information much easier than ever before. On account of the nature of the Web as a human-centric media, the existing Web is an efficient platform for publishing geospatial information. But there are some barriers in front of fully utilize the potential of Web as the ubiquitous infrastructure for exchanging geospatial data.
Today the vast majority of published geospatial services over the Web do not provide the ability to integrate geospatial data from various sources remotely and in an efficient manner. In this context two sources for this issue can be identified; first these services don’t offer their own geospatial data in an open and standard format and second, even if these services offer their own geospatial data in open and standard format, there must be an efficient infrastructure to allow them to communicate directly. In other words, different geospatial services which are running on various platforms should be able to communicate with each other in open and vendor neutral way. But in this context unique characteristics of geospatial data should be considered as well.
By building on broader Internet standards from the World Wide Web Consortium (W3C), the GIS community has developed an XML-based markup language, known as GML (Geography Markup Language). GML is used to express geospatial data in a manner that can be readily published on the Web. For fully access to geospatial data in a distributed environment openly and in cross platform manner, coupling geospatial data which are encoded in GML with efficient technologies and platforms seems to be an efficient solution.
This paper intends to deal with the existing solutions for exchanging geospatial data over the Web and will propose an efficient framework for exchanging geospatial data over the Web.
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