@inproceedings{2909a5556f474a45938ad0aa44ca6ef1,
title = "Integration and interoperability of multiple theme data on the basis of Google Earth",
abstract = "Integrating multiple theme data associated with the spatial data must consider specific domain knowledge and models that are often characterized by complex features. The paper discusses how to depict complex features with favored markup languages to realize a web-wide interoperability. Four data sets are selected for the implementation: basic spatial data, traffic load, road emission, and demographic data.",
keywords = "Complex feature, Data integration, Feature, GML, Interoperability, KML",
author = "W. Shi and L. Meng",
year = "2006",
doi = "10.1117/12.713135",
language = "English",
isbn = "0819465305",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Geoinformatics 2006",
note = "Geoinformatics 2006: Geospatial Information Technology ; Conference date: 28-10-2006 Through 29-10-2006",
}