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Grid metadata catalog service-based OGC web registry service
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Source Geographic Information Systems archive
Proceedings of the 12th annual ACM international workshop on Geographic information systems table of contents
Washington DC, USA
SESSION: Conceptual modeling and metadata table of contents
Pages: 22 - 30  
Year of Publication: 2004
ISBN:1-58113-979-9
Authors
Peisheng Zhao  George Mason University, Fairfax, VA
Aijun Chen  George Mason University, Fairfax, VA
Yang Liu  George Mason University, Fairfax, VA
Liping Di  George Mason University, Fairfax, VA
Wenli Yang  George Mason University, Fairfax, VA
Peichuan Li  George Mason University, Fairfax, VA
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 12,   Downloads (12 Months): 96,   Citation Count: 3
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ABSTRACT

Grid is a promising e-Science infrastructure that promotes and facilitates the sharing and collaboration in the use of distributed heterogeneous resources through Virtual Organization (VO). A critical factor to the overall utility of Grid is a scalable, flexible and robust registry mechanism. Although it provides some mechanisms to store and access metadata for publishing and discovering resources, such as MCS (Metadata Catalog Service), the Grid registry is inadequate for dealing with domain-specific resources. To enhance the earth science Grid systems, this paper presents a geospatial registry approach in which the OGC (Open GIS Consortium) WRS (Web Registry Service), a <i>de facto</i> standard that supports the publishing of and run-time access to geospatial resources, as a wrapper is used to extend the capabilities of the conventional Grid MCS to the processing of geospatial queries against multiple heterogeneous spatial data sources and services. The approach presented not only focuses on the specifics of descriptive information about spatial data, services, and relevant information objects, but also emphasizes using ontology to infer the semantic relationships between vocabularies for integrating different information models. The implementation of presented approach used in NASA Grid Data Service environment is also illustrated in this paper.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Peisheng Zhao: colleagues
Aijun Chen: colleagues
Yang Liu: colleagues
Liping Di: colleagues
Wenli Yang: colleagues
Peichuan Li: colleagues