Paper
10 November 2008 Ontology-based geographic information semantic metadata integration
Author Affiliations +
Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460M (2008) https://doi.org/10.1117/12.813113
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Metadata is important to facilitate data sharing among Geospatial Information Communities in distributed environment. For unanimous understanding and standard production of metadata annotations, metadata specifications are documented such as Geographic Information Metadata Standard (ISO19115-2003), the Content Standard for Digital Geospatial Metadata (CSDGM), and so on. Though these specifications provide frameworks for description of geographic data, there are two problems which embarrass sufficiently data sharing. One problem is that specifications are lack of domainspecific semantics. Another problem is that specifications can not always solve semantic heterogeneities. To solve the former problem, an ontology-based geographic information metadata extension framework is proposed which can incorporate domain-specific semantics. Besides, for solving the later problem, metadata integration mechanism based on the proposed extension is studied. In this paper, integration of metadata is realized through integration of ontologies. So integration of ontologies is also discussed. By ontology-based geographic information semantic metadata integration, sharing of geographic data is realized more efficiently.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qin Zhan, Deren Li, Xia Zhang, and Yu Xia "Ontology-based geographic information semantic metadata integration", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460M (10 November 2008); https://doi.org/10.1117/12.813113
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Cited by 5 scholarly publications.
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KEYWORDS
Chemical elements

Information fusion

Associative arrays

Data modeling

Standards development

Roads

Artificial intelligence

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