Integration and interoperability of multiple theme data on the basis of Google Earth

Wen Zhong Shi, L. Meng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


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.
Original languageEnglish
Title of host publicationGeoinformatics 2006
Subtitle of host publicationGeospatial Information Technology
Publication statusPublished - 1 Dec 2006
Externally publishedYes
EventGeoinformatics 2006: Geospatial Information Technology - Wuhan, China
Duration: 28 Oct 200629 Oct 2006


ConferenceGeoinformatics 2006: Geospatial Information Technology


  • Complex feature
  • Data integration
  • Feature
  • GML
  • Interoperability
  • KML

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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