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

Wen Zhong Shi; L. Meng

doi:10.1117/12.713135

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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.

Original language	English
Title of host publication	Geoinformatics 2006
Subtitle of host publication	Geospatial Information Technology
Volume	6421
DOIs	https://doi.org/10.1117/12.713135
Publication status	Published - 1 Dec 2006
Externally published	Yes
Event	Geoinformatics 2006: Geospatial Information Technology - Wuhan, China Duration: 28 Oct 2006 → 29 Oct 2006

Conference

Conference	Geoinformatics 2006: Geospatial Information Technology
Country/Territory	China
City	Wuhan
Period	28/10/06 → 29/10/06

Keywords

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

More information

10.1117/12.713135

Cite this

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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.",

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AB - 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.

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KW - Feature

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DO - 10.1117/12.713135

M3 - Conference article published in proceeding or book

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VL - 6421

BT - Geoinformatics 2006

T2 - Geoinformatics 2006: Geospatial Information Technology

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ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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Cite this