DocumentCode :
1733497
Title :
Research on Multi-source Heterogeneous Spatial Data Exchange Model Based on Ontology and GML
Author :
Yaqin, Wang ; Hua, Gao ; Cuiyu, Sun ; Weixing, Shen
Author_Institution :
Shandong Univ. of Sci. & Technol., Tsingdao
fYear :
2007
Abstract :
Geography spatial data sharing and interoperation are the key technology of digital earth as well as digital city. They are also the precondition of national spatial information construction and spatial data utilization. Based on the analysis of several key technologies such as ontology, GML, GIS data integration and interoperation as well as their present research status, the system framework of GIS data integration and interoperation is studied firstly in this paper. Then, an ontology and GML-based spatial data exchange model and SVG-based information visualization model are proposed. Finally, by describing specific spatial concepts and their relationship with ontology, and labeling data model with ontology information, the data model not only has structure information but also has semantic information. Which provides a well support for the realization of full semantic data exchange.
Keywords :
XML; geographic information systems; ontologies (artificial intelligence); GIS data integration; GML; digital city; digital earth; geography spatial data sharing; multi-source heterogeneous spatial data exchange model; national spatial information construction; ontology; semantic data exchange; spatial data utilization; Agricultural engineering; Data models; Data visualization; Educational institutions; Geographic Information Systems; Geography; Instruments; Ontologies; Sun; XML; GML; SVG; data exchange; heterogeneous spatial data; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4351071
Filename :
4351071
Link To Document :
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