Paper
28 October 2006 The future application of GML database in GIS
Yuejin Deng, Yushu Cheng, Lianwen Jing
Author Affiliations +
Proceedings Volume 6421, Geoinformatics 2006: Geospatial Information Technology; 64210Z (2006) https://doi.org/10.1117/12.712948
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
In 2004, the Geography Markup Language (GML) Implementation Specification (version 3.1.1) was published by Open Geospatial Consortium, Inc. Now more and more applications in geospatial data sharing and interoperability depend on GML. The primary purpose of designing GML is for exchange and transportation of geo-information by standard modeling and encoding of geography phenomena. However, the problems of how to organize and access lots of GML data effectively arise in applications. The research on GML database focuses on these problems. The effective storage of GML data is a hot topic in GIS communities today. GML Database Management System (GDBMS) mainly deals with the problem of storage and management of GML data. Now two types of XML database, namely Native XML Database, and XML-Enabled Database are classified. Since GML is an application of the XML standard to geographic data, the XML database system can also be used for the management of GML. In this paper, we review the status of the art of XML database, including storage, index and query languages, management systems and so on, then move on to the GML database. At the end, the future prospect of GML database in GIS application is presented.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuejin Deng, Yushu Cheng, and Lianwen Jing "The future application of GML database in GIS", Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64210Z (28 October 2006); https://doi.org/10.1117/12.712948
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KEYWORDS
Databases

Data storage

Geographic information systems

Data modeling

Computer programming

Internet

Feature extraction

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